diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-160/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-160/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..9c207795b9d2152ed4f26a0b4cba81380497a650 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-160/trainer_state.json @@ -0,0 +1,273 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.1333333333333333, + "eval_steps": 10, + "global_step": 160, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2.62177151778816e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..37788127a98b282e71c4c6bcbbe54e3ada89197d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-170/trainer_state.json @@ -0,0 +1,288 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.2666666666666666, + "eval_steps": 10, + "global_step": 170, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2.78563223764992e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..cd162ff2de600299e4b278bea36c54296ade878a --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-180/trainer_state.json @@ -0,0 +1,303 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.4, + "eval_steps": 10, + "global_step": 180, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2.94949295751168e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..79f8847f35010fb7912cb7db037cdd6b878970a7 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-190/trainer_state.json @@ -0,0 +1,318 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.533333333333333, + "eval_steps": 10, + "global_step": 190, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.11335367737344e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..2e50c5333d4db609ec1bc5e64859c19b12507161 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-200/trainer_state.json @@ -0,0 +1,333 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.6666666666666665, + "eval_steps": 10, + "global_step": 200, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.2772143972352e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..4bfacfdd7c3b6ea330b10c5a2f7863bdc59cc849 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-210/trainer_state.json @@ -0,0 +1,348 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.8, + "eval_steps": 10, + "global_step": 210, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.44107511709696e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..29f1efa48332c4f158d7865529b00c000d6b7786 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-220/trainer_state.json @@ -0,0 +1,363 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 2.9333333333333336, + "eval_steps": 10, + "global_step": 220, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.60493583695872e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..8735c3efa563bdbbd034f0cae1b7c73ff887475b --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-230/trainer_state.json @@ -0,0 +1,378 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.066666666666667, + "eval_steps": 10, + "global_step": 230, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.76879655682048e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..4a32bb930f3b73bcd59e1def81ef96ab37d9524f --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-240/trainer_state.json @@ -0,0 +1,393 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.2, + "eval_steps": 10, + "global_step": 240, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.93265727668224e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..c10fd7f3b39dfd0550e09ee73e9ff1a30600c206 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-250/trainer_state.json @@ -0,0 +1,408 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.3333333333333335, + "eval_steps": 10, + "global_step": 250, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.096517996544e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..8a014dc006901767c59543b3d97a9ff51a9aeb49 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-260/trainer_state.json @@ -0,0 +1,423 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.466666666666667, + "eval_steps": 10, + "global_step": 260, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.26037871640576e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..4d19f446b51560a0c07284262cd9ee98db741e5b --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-270/trainer_state.json @@ -0,0 +1,438 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.6, + "eval_steps": 10, + "global_step": 270, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.42423943626752e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..80aa8e3c35bd78e779a74a72ce488aadd6af3c23 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-280/trainer_state.json @@ -0,0 +1,453 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.7333333333333334, + "eval_steps": 10, + "global_step": 280, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.58810015612928e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..86ba19fb4023ef92ccb7d5212dc5790effb40b2b --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-290/trainer_state.json @@ -0,0 +1,468 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 3.8666666666666667, + "eval_steps": 10, + "global_step": 290, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.75196087599104e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..ae3aa35f759d57bba07d1399f7686cb10eb2e291 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-300/trainer_state.json @@ -0,0 +1,483 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.0, + "eval_steps": 10, + "global_step": 300, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.9158215958528e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..2d5bb240135804fe86b4d6524c5a5874c9a7a173 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-310/trainer_state.json @@ -0,0 +1,498 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.133333333333334, + "eval_steps": 10, + "global_step": 310, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.07968231571456e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..b8ffcfc58b6215dc67e6088ef9d3b07ba1c80903 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-320/trainer_state.json @@ -0,0 +1,513 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.266666666666667, + "eval_steps": 10, + "global_step": 320, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.24354303557632e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..e3299ed10cf8f8a2df531e523c8e089e106ad98a --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-330/trainer_state.json @@ -0,0 +1,528 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.4, + "eval_steps": 10, + "global_step": 330, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.40740375543808e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..2d8b1fe2e0d1c29b0465483c737ec5d0c58407ff --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-340/trainer_state.json @@ -0,0 +1,543 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.533333333333333, + "eval_steps": 10, + "global_step": 340, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.57126447529984e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..41cfea7c749d4dd09aad7a62b3bc5398ff8b4810 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-350/trainer_state.json @@ -0,0 +1,558 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.666666666666667, + "eval_steps": 10, + "global_step": 350, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + }, + { + "epoch": 4.666666666666667, + "grad_norm": 2.768984079360962, + "learning_rate": 3.851851851851852e-05, + "loss": 1.9134, + "step": 350 + }, + { + "epoch": 4.666666666666667, + "eval_loss": 2.7299180030822754, + "eval_runtime": 43.8498, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 350 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.7351251951616e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..0db6ca9aa416ef3d980b56ba0989e8d35a6bb9db --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-360/trainer_state.json @@ -0,0 +1,573 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.8, + "eval_steps": 10, + "global_step": 360, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + }, + { + "epoch": 4.666666666666667, + "grad_norm": 2.768984079360962, + "learning_rate": 3.851851851851852e-05, + "loss": 1.9134, + "step": 350 + }, + { + "epoch": 4.666666666666667, + "eval_loss": 2.7299180030822754, + "eval_runtime": 43.8498, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 350 + }, + { + "epoch": 4.8, + "grad_norm": 3.0203487873077393, + "learning_rate": 3.733333333333334e-05, + "loss": 1.9445, + "step": 360 + }, + { + "epoch": 4.8, + "eval_loss": 2.7333309650421143, + "eval_runtime": 43.8634, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 360 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 5.89898591502336e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..7c57b36ae5a367295a91d50bb049a7ae1e1cc36b --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-370/trainer_state.json @@ -0,0 +1,588 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 4.933333333333334, + "eval_steps": 10, + "global_step": 370, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + }, + { + "epoch": 4.666666666666667, + "grad_norm": 2.768984079360962, + "learning_rate": 3.851851851851852e-05, + "loss": 1.9134, + "step": 350 + }, + { + "epoch": 4.666666666666667, + "eval_loss": 2.7299180030822754, + "eval_runtime": 43.8498, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 350 + }, + { + "epoch": 4.8, + "grad_norm": 3.0203487873077393, + "learning_rate": 3.733333333333334e-05, + "loss": 1.9445, + "step": 360 + }, + { + "epoch": 4.8, + "eval_loss": 2.7333309650421143, + "eval_runtime": 43.8634, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 360 + }, + { + "epoch": 4.933333333333334, + "grad_norm": 2.721759080886841, + "learning_rate": 3.614814814814815e-05, + "loss": 1.9199, + "step": 370 + }, + { + "epoch": 4.933333333333334, + "eval_loss": 2.7230074405670166, + "eval_runtime": 43.8351, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 370 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 6.06284663488512e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..17a95f836a7c421298429ba091e3f4b563dfffc5 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-380/trainer_state.json @@ -0,0 +1,603 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 5.066666666666666, + "eval_steps": 10, + "global_step": 380, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + }, + { + "epoch": 4.666666666666667, + "grad_norm": 2.768984079360962, + "learning_rate": 3.851851851851852e-05, + "loss": 1.9134, + "step": 350 + }, + { + "epoch": 4.666666666666667, + "eval_loss": 2.7299180030822754, + "eval_runtime": 43.8498, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 350 + }, + { + "epoch": 4.8, + "grad_norm": 3.0203487873077393, + "learning_rate": 3.733333333333334e-05, + "loss": 1.9445, + "step": 360 + }, + { + "epoch": 4.8, + "eval_loss": 2.7333309650421143, + "eval_runtime": 43.8634, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 360 + }, + { + "epoch": 4.933333333333334, + "grad_norm": 2.721759080886841, + "learning_rate": 3.614814814814815e-05, + "loss": 1.9199, + "step": 370 + }, + { + "epoch": 4.933333333333334, + "eval_loss": 2.7230074405670166, + "eval_runtime": 43.8351, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 370 + }, + { + "epoch": 5.066666666666666, + "grad_norm": 2.812037467956543, + "learning_rate": 3.4962962962962965e-05, + "loss": 1.9396, + "step": 380 + }, + { + "epoch": 5.066666666666666, + "eval_loss": 2.7738075256347656, + "eval_runtime": 43.8405, + "eval_samples_per_second": 22.81, + "eval_steps_per_second": 2.851, + "step": 380 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 6.22670735474688e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..0d090299c70d42996332695ac6a009660c619e3a --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-390/trainer_state.json @@ -0,0 +1,618 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 5.2, + "eval_steps": 10, + "global_step": 390, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + }, + { + "epoch": 4.666666666666667, + "grad_norm": 2.768984079360962, + "learning_rate": 3.851851851851852e-05, + "loss": 1.9134, + "step": 350 + }, + { + "epoch": 4.666666666666667, + "eval_loss": 2.7299180030822754, + "eval_runtime": 43.8498, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 350 + }, + { + "epoch": 4.8, + "grad_norm": 3.0203487873077393, + "learning_rate": 3.733333333333334e-05, + "loss": 1.9445, + "step": 360 + }, + { + "epoch": 4.8, + "eval_loss": 2.7333309650421143, + "eval_runtime": 43.8634, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 360 + }, + { + "epoch": 4.933333333333334, + "grad_norm": 2.721759080886841, + "learning_rate": 3.614814814814815e-05, + "loss": 1.9199, + "step": 370 + }, + { + "epoch": 4.933333333333334, + "eval_loss": 2.7230074405670166, + "eval_runtime": 43.8351, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 370 + }, + { + "epoch": 5.066666666666666, + "grad_norm": 2.812037467956543, + "learning_rate": 3.4962962962962965e-05, + "loss": 1.9396, + "step": 380 + }, + { + "epoch": 5.066666666666666, + "eval_loss": 2.7738075256347656, + "eval_runtime": 43.8405, + "eval_samples_per_second": 22.81, + "eval_steps_per_second": 2.851, + "step": 380 + }, + { + "epoch": 5.2, + "grad_norm": 3.347679376602173, + "learning_rate": 3.377777777777778e-05, + "loss": 1.8374, + "step": 390 + }, + { + "epoch": 5.2, + "eval_loss": 2.830467700958252, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 390 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 6.39056807460864e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/trainer_state.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..fdb2ee9185e63d538f5ce0b0b7e77367988a84e2 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-400/trainer_state.json @@ -0,0 +1,633 @@ +{ + "best_metric": 2.5317564010620117, + "best_model_checkpoint": "./output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-150", + "epoch": 5.333333333333333, + "eval_steps": 10, + "global_step": 400, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.13333333333333333, + "grad_norm": 0.4347652792930603, + "learning_rate": 7.881481481481482e-05, + "loss": 2.4954, + "step": 10 + }, + { + "epoch": 0.13333333333333333, + "eval_loss": 2.556234359741211, + "eval_runtime": 43.818, + "eval_samples_per_second": 22.822, + "eval_steps_per_second": 2.853, + "step": 10 + }, + { + "epoch": 0.26666666666666666, + "grad_norm": 0.40230727195739746, + "learning_rate": 7.762962962962963e-05, + "loss": 2.5574, + "step": 20 + }, + { + "epoch": 0.26666666666666666, + "eval_loss": 2.552377462387085, + "eval_runtime": 43.8488, + "eval_samples_per_second": 22.806, + "eval_steps_per_second": 2.851, + "step": 20 + }, + { + "epoch": 0.4, + "grad_norm": 0.3980488181114197, + "learning_rate": 7.644444444444445e-05, + "loss": 2.4669, + "step": 30 + }, + { + "epoch": 0.4, + "eval_loss": 2.549164056777954, + "eval_runtime": 43.8389, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 30 + }, + { + "epoch": 0.5333333333333333, + "grad_norm": 0.4006142020225525, + "learning_rate": 7.525925925925926e-05, + "loss": 2.5199, + "step": 40 + }, + { + "epoch": 0.5333333333333333, + "eval_loss": 2.546046495437622, + "eval_runtime": 43.8456, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 40 + }, + { + "epoch": 0.6666666666666666, + "grad_norm": 0.4202616512775421, + "learning_rate": 7.407407407407409e-05, + "loss": 2.5619, + "step": 50 + }, + { + "epoch": 0.6666666666666666, + "eval_loss": 2.5431504249572754, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 50 + }, + { + "epoch": 0.8, + "grad_norm": 0.3871513307094574, + "learning_rate": 7.28888888888889e-05, + "loss": 2.5057, + "step": 60 + }, + { + "epoch": 0.8, + "eval_loss": 2.5413730144500732, + "eval_runtime": 43.8646, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 60 + }, + { + "epoch": 0.9333333333333333, + "grad_norm": 0.36390039324760437, + "learning_rate": 7.170370370370371e-05, + "loss": 2.4606, + "step": 70 + }, + { + "epoch": 0.9333333333333333, + "eval_loss": 2.5389301776885986, + "eval_runtime": 43.8837, + "eval_samples_per_second": 22.788, + "eval_steps_per_second": 2.848, + "step": 70 + }, + { + "epoch": 1.0666666666666667, + "grad_norm": 0.4081075191497803, + "learning_rate": 7.051851851851853e-05, + "loss": 2.4696, + "step": 80 + }, + { + "epoch": 1.0666666666666667, + "eval_loss": 2.5368435382843018, + "eval_runtime": 43.8696, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 80 + }, + { + "epoch": 1.2, + "grad_norm": 0.5448070764541626, + "learning_rate": 6.933333333333334e-05, + "loss": 2.4258, + "step": 90 + }, + { + "epoch": 1.2, + "eval_loss": 2.538212776184082, + "eval_runtime": 43.8585, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 90 + }, + { + "epoch": 1.3333333333333333, + "grad_norm": 0.7155500650405884, + "learning_rate": 6.814814814814815e-05, + "loss": 2.4865, + "step": 100 + }, + { + "epoch": 1.3333333333333333, + "eval_loss": 2.540060043334961, + "eval_runtime": 43.8337, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 100 + }, + { + "epoch": 1.4666666666666668, + "grad_norm": 0.7326843738555908, + "learning_rate": 6.696296296296296e-05, + "loss": 2.4391, + "step": 110 + }, + { + "epoch": 1.4666666666666668, + "eval_loss": 2.5385019779205322, + "eval_runtime": 43.8789, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 110 + }, + { + "epoch": 1.6, + "grad_norm": 0.8026068806648254, + "learning_rate": 6.577777777777777e-05, + "loss": 2.4001, + "step": 120 + }, + { + "epoch": 1.6, + "eval_loss": 2.5356342792510986, + "eval_runtime": 43.8699, + "eval_samples_per_second": 22.795, + "eval_steps_per_second": 2.849, + "step": 120 + }, + { + "epoch": 1.7333333333333334, + "grad_norm": 0.8492558598518372, + "learning_rate": 6.45925925925926e-05, + "loss": 2.387, + "step": 130 + }, + { + "epoch": 1.7333333333333334, + "eval_loss": 2.5329699516296387, + "eval_runtime": 43.8654, + "eval_samples_per_second": 22.797, + "eval_steps_per_second": 2.85, + "step": 130 + }, + { + "epoch": 1.8666666666666667, + "grad_norm": 1.1200364828109741, + "learning_rate": 6.340740740740741e-05, + "loss": 2.3817, + "step": 140 + }, + { + "epoch": 1.8666666666666667, + "eval_loss": 2.5319204330444336, + "eval_runtime": 43.847, + "eval_samples_per_second": 22.807, + "eval_steps_per_second": 2.851, + "step": 140 + }, + { + "epoch": 2.0, + "grad_norm": 0.9766451120376587, + "learning_rate": 6.222222222222223e-05, + "loss": 2.4193, + "step": 150 + }, + { + "epoch": 2.0, + "eval_loss": 2.5317564010620117, + "eval_runtime": 43.8504, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 150 + }, + { + "epoch": 2.1333333333333333, + "grad_norm": 1.0703226327896118, + "learning_rate": 6.103703703703704e-05, + "loss": 2.3341, + "step": 160 + }, + { + "epoch": 2.1333333333333333, + "eval_loss": 2.5564167499542236, + "eval_runtime": 43.8299, + "eval_samples_per_second": 22.815, + "eval_steps_per_second": 2.852, + "step": 160 + }, + { + "epoch": 2.2666666666666666, + "grad_norm": 1.3115178346633911, + "learning_rate": 5.9851851851851855e-05, + "loss": 2.2182, + "step": 170 + }, + { + "epoch": 2.2666666666666666, + "eval_loss": 2.5810468196868896, + "eval_runtime": 43.8366, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 170 + }, + { + "epoch": 2.4, + "grad_norm": 1.4998687505722046, + "learning_rate": 5.8666666666666665e-05, + "loss": 2.2379, + "step": 180 + }, + { + "epoch": 2.4, + "eval_loss": 2.580641269683838, + "eval_runtime": 43.8362, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.852, + "step": 180 + }, + { + "epoch": 2.533333333333333, + "grad_norm": 1.6269217729568481, + "learning_rate": 5.748148148148149e-05, + "loss": 2.2346, + "step": 190 + }, + { + "epoch": 2.533333333333333, + "eval_loss": 2.572070360183716, + "eval_runtime": 43.8376, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 190 + }, + { + "epoch": 2.6666666666666665, + "grad_norm": 1.5595163106918335, + "learning_rate": 5.62962962962963e-05, + "loss": 2.225, + "step": 200 + }, + { + "epoch": 2.6666666666666665, + "eval_loss": 2.574326276779175, + "eval_runtime": 43.8537, + "eval_samples_per_second": 22.803, + "eval_steps_per_second": 2.85, + "step": 200 + }, + { + "epoch": 2.8, + "grad_norm": 1.673547387123108, + "learning_rate": 5.511111111111112e-05, + "loss": 2.2471, + "step": 210 + }, + { + "epoch": 2.8, + "eval_loss": 2.5765159130096436, + "eval_runtime": 43.8369, + "eval_samples_per_second": 22.812, + "eval_steps_per_second": 2.851, + "step": 210 + }, + { + "epoch": 2.9333333333333336, + "grad_norm": 1.5295490026474, + "learning_rate": 5.392592592592593e-05, + "loss": 2.204, + "step": 220 + }, + { + "epoch": 2.9333333333333336, + "eval_loss": 2.5766921043395996, + "eval_runtime": 43.8443, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 220 + }, + { + "epoch": 3.066666666666667, + "grad_norm": 1.6709380149841309, + "learning_rate": 5.274074074074074e-05, + "loss": 2.1753, + "step": 230 + }, + { + "epoch": 3.066666666666667, + "eval_loss": 2.602360248565674, + "eval_runtime": 43.8576, + "eval_samples_per_second": 22.801, + "eval_steps_per_second": 2.85, + "step": 230 + }, + { + "epoch": 3.2, + "grad_norm": 2.053478240966797, + "learning_rate": 5.155555555555556e-05, + "loss": 2.0405, + "step": 240 + }, + { + "epoch": 3.2, + "eval_loss": 2.6636874675750732, + "eval_runtime": 43.8509, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 240 + }, + { + "epoch": 3.3333333333333335, + "grad_norm": 1.8616771697998047, + "learning_rate": 5.037037037037037e-05, + "loss": 2.0265, + "step": 250 + }, + { + "epoch": 3.3333333333333335, + "eval_loss": 2.6536307334899902, + "eval_runtime": 43.8433, + "eval_samples_per_second": 22.808, + "eval_steps_per_second": 2.851, + "step": 250 + }, + { + "epoch": 3.466666666666667, + "grad_norm": 2.1498146057128906, + "learning_rate": 4.918518518518519e-05, + "loss": 2.1386, + "step": 260 + }, + { + "epoch": 3.466666666666667, + "eval_loss": 2.658257246017456, + "eval_runtime": 43.8516, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.851, + "step": 260 + }, + { + "epoch": 3.6, + "grad_norm": 2.203857660293579, + "learning_rate": 4.8e-05, + "loss": 2.0367, + "step": 270 + }, + { + "epoch": 3.6, + "eval_loss": 2.658139228820801, + "eval_runtime": 43.8709, + "eval_samples_per_second": 22.794, + "eval_steps_per_second": 2.849, + "step": 270 + }, + { + "epoch": 3.7333333333333334, + "grad_norm": 2.0805578231811523, + "learning_rate": 4.681481481481481e-05, + "loss": 2.0226, + "step": 280 + }, + { + "epoch": 3.7333333333333334, + "eval_loss": 2.646563768386841, + "eval_runtime": 43.8726, + "eval_samples_per_second": 22.793, + "eval_steps_per_second": 2.849, + "step": 280 + }, + { + "epoch": 3.8666666666666667, + "grad_norm": 2.27193546295166, + "learning_rate": 4.5629629629629636e-05, + "loss": 2.1099, + "step": 290 + }, + { + "epoch": 3.8666666666666667, + "eval_loss": 2.6486735343933105, + "eval_runtime": 43.881, + "eval_samples_per_second": 22.789, + "eval_steps_per_second": 2.849, + "step": 290 + }, + { + "epoch": 4.0, + "grad_norm": 2.0627055168151855, + "learning_rate": 4.444444444444445e-05, + "loss": 2.0996, + "step": 300 + }, + { + "epoch": 4.0, + "eval_loss": 2.644541025161743, + "eval_runtime": 43.9055, + "eval_samples_per_second": 22.776, + "eval_steps_per_second": 2.847, + "step": 300 + }, + { + "epoch": 4.133333333333334, + "grad_norm": 2.6526894569396973, + "learning_rate": 4.3259259259259264e-05, + "loss": 1.8896, + "step": 310 + }, + { + "epoch": 4.133333333333334, + "eval_loss": 2.7607998847961426, + "eval_runtime": 43.8953, + "eval_samples_per_second": 22.781, + "eval_steps_per_second": 2.848, + "step": 310 + }, + { + "epoch": 4.266666666666667, + "grad_norm": 2.813822031021118, + "learning_rate": 4.2074074074074075e-05, + "loss": 1.8568, + "step": 320 + }, + { + "epoch": 4.266666666666667, + "eval_loss": 2.7357044219970703, + "eval_runtime": 43.8795, + "eval_samples_per_second": 22.79, + "eval_steps_per_second": 2.849, + "step": 320 + }, + { + "epoch": 4.4, + "grad_norm": 3.134248733520508, + "learning_rate": 4.088888888888889e-05, + "loss": 1.9636, + "step": 330 + }, + { + "epoch": 4.4, + "eval_loss": 2.742431640625, + "eval_runtime": 43.8639, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 330 + }, + { + "epoch": 4.533333333333333, + "grad_norm": 2.727226495742798, + "learning_rate": 3.970370370370371e-05, + "loss": 1.9148, + "step": 340 + }, + { + "epoch": 4.533333333333333, + "eval_loss": 2.7314682006835938, + "eval_runtime": 43.852, + "eval_samples_per_second": 22.804, + "eval_steps_per_second": 2.85, + "step": 340 + }, + { + "epoch": 4.666666666666667, + "grad_norm": 2.768984079360962, + "learning_rate": 3.851851851851852e-05, + "loss": 1.9134, + "step": 350 + }, + { + "epoch": 4.666666666666667, + "eval_loss": 2.7299180030822754, + "eval_runtime": 43.8498, + "eval_samples_per_second": 22.805, + "eval_steps_per_second": 2.851, + "step": 350 + }, + { + "epoch": 4.8, + "grad_norm": 3.0203487873077393, + "learning_rate": 3.733333333333334e-05, + "loss": 1.9445, + "step": 360 + }, + { + "epoch": 4.8, + "eval_loss": 2.7333309650421143, + "eval_runtime": 43.8634, + "eval_samples_per_second": 22.798, + "eval_steps_per_second": 2.85, + "step": 360 + }, + { + "epoch": 4.933333333333334, + "grad_norm": 2.721759080886841, + "learning_rate": 3.614814814814815e-05, + "loss": 1.9199, + "step": 370 + }, + { + "epoch": 4.933333333333334, + "eval_loss": 2.7230074405670166, + "eval_runtime": 43.8351, + "eval_samples_per_second": 22.813, + "eval_steps_per_second": 2.852, + "step": 370 + }, + { + "epoch": 5.066666666666666, + "grad_norm": 2.812037467956543, + "learning_rate": 3.4962962962962965e-05, + "loss": 1.9396, + "step": 380 + }, + { + "epoch": 5.066666666666666, + "eval_loss": 2.7738075256347656, + "eval_runtime": 43.8405, + "eval_samples_per_second": 22.81, + "eval_steps_per_second": 2.851, + "step": 380 + }, + { + "epoch": 5.2, + "grad_norm": 3.347679376602173, + "learning_rate": 3.377777777777778e-05, + "loss": 1.8374, + "step": 390 + }, + { + "epoch": 5.2, + "eval_loss": 2.830467700958252, + "eval_runtime": 43.8379, + "eval_samples_per_second": 22.811, + "eval_steps_per_second": 2.851, + "step": 390 + }, + { + "epoch": 5.333333333333333, + "grad_norm": 3.1343460083007812, + "learning_rate": 3.259259259259259e-05, + "loss": 1.7472, + "step": 400 + }, + { + "epoch": 5.333333333333333, + "eval_loss": 2.8105757236480713, + "eval_runtime": 43.9522, + "eval_samples_per_second": 22.752, + "eval_steps_per_second": 2.844, + "step": 400 + } + ], + "logging_steps": 10, + "max_steps": 675, + "num_input_tokens_seen": 0, + "num_train_epochs": 9, + "save_steps": 10, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 6.5544287944704e+16, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-410/README.md b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-410/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e255b1d99c1c1d12955d852dc1056813be7ffca0 --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-410/README.md @@ -0,0 +1,202 @@ +--- +base_model: /workspace/pythia-6_9b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.13.2 \ No newline at end of file diff --git a/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-410/adapter_config.json b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-410/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba239f9898740ab73b40475027c839e6012eb0d --- /dev/null +++ b/output_ft_more_layers_bookcorpus2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-bookcorpus2-8e-05/checkpoint-410/adapter_config.json @@ -0,0 +1,31 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/workspace/pythia-6_9b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 32, + "lora_dropout": 0.1, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "dense_h_to_4h", + "query_key_value", + "dense", + "dense_4h_to_h" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/output_ft_more_layers_books3_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-books3-8e-05/checkpoint-610/adapter_model.safetensors b/output_ft_more_layers_books3_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-books3-8e-05/checkpoint-610/adapter_model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..2d364c38ebf713f1299e164d7c24194671c3bbed --- /dev/null +++ b/output_ft_more_layers_books3_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-books3-8e-05/checkpoint-610/adapter_model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d86f1e9bf5d31094b427e077385cc51360be52fcd13c1db7ab7a0024fb63d98 +size 67144544 diff --git a/output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-160/optimizer.pt b/output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-160/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..fd6ea09fee22c94bac524b3730f7bc33e9784861 --- /dev/null +++ b/output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-160/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b28440ec9cb461bd440758d11f1ab0ab0a19248d5b06634dff81316f5c9bd452 +size 134432453 diff --git a/output_ft_more_layers_wikipedia_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-wikipedia-8e-05/checkpoint-580/optimizer.pt b/output_ft_more_layers_wikipedia_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-wikipedia-8e-05/checkpoint-580/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..0d6794d24c1d5edc03ccde680ff82d7b42397019 --- /dev/null +++ b/output_ft_more_layers_wikipedia_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-wikipedia-8e-05/checkpoint-580/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15fd0f7b0f5c0bda9128fe4706e92ce4cd9d25cda5a8f31eacb7f2befbac270a +size 134432453 diff --git a/output_ft_more_layers_youtubesubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-youtubesubtitles-8e-05/checkpoint-640/optimizer.pt b/output_ft_more_layers_youtubesubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-youtubesubtitles-8e-05/checkpoint-640/optimizer.pt new file mode 100644 index 0000000000000000000000000000000000000000..6aaf2d9b00ddd251a98f5a7975770ae0f94cbca1 --- /dev/null +++ b/output_ft_more_layers_youtubesubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-youtubesubtitles-8e-05/checkpoint-640/optimizer.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca458073e33a16ae5e88c6b109671e45d14eab381f91f5fc9810ca13edbb0caa +size 134432453