yiran-wang3
commited on
Commit
•
a34306c
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Parent(s):
1dada7a
End of training
Browse files- README.md +64 -0
- all_results.json +9 -0
- config.json +1 -1
- generation_config.json +6 -0
- train_results.json +9 -0
- trainer_state.json +609 -0
README.md
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---
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library_name: transformers
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license: other
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base_model: yiran-wang3/ds_coder6.7b_rmsprop_iter4
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- dpo
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datasets:
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- reflection-gen/ds_coder6.7b_rmsprop_iter4_sppo_hard_new_cn_mining_oj_iter4-binarized
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model-index:
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- name: ds_coder6.7b_rmsprop_iter5
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ds_coder6.7b_rmsprop_iter5
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This model is a fine-tuned version of [yiran-wang3/ds_coder6.7b_rmsprop_iter4](https://huggingface.co/yiran-wang3/ds_coder6.7b_rmsprop_iter4) on the reflection-gen/ds_coder6.7b_rmsprop_iter4_sppo_hard_new_cn_mining_oj_iter4-binarized dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.45.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.20.3
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.4988678726885054,
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"train_runtime": 316.5001,
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"train_samples": 1705,
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"train_samples_per_second": 5.387,
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"train_steps_per_second": 0.085
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}
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0",
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"use_cache":
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"vocab_size": 32256
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0",
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"use_cache": true,
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"vocab_size": 32256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"transformers_version": "4.45.0"
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.4988678726885054,
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"train_runtime": 316.5001,
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"train_samples": 1705,
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"train_samples_per_second": 5.387,
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"train_steps_per_second": 0.085
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 1.0,
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"eval_steps": 100,
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"global_step": 27,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"debug/policy_chosen_logits": 1.9176132678985596,
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"debug/policy_chosen_logps": -384.8390197753906,
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"debug/policy_rejected_logits": 1.9076852798461914,
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"debug/policy_rejected_logps": -398.07366943359375,
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"debug/reference_chosen_logps": -384.8390197753906,
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"debug/reference_rejected_logps": -398.07366943359375,
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"epoch": 0.037037037037037035,
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"grad_norm": 3.365806843577083,
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"learning_rate": 5e-07,
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"logits/chosen": 1.9176132678985596,
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"logits/rejected": 1.9076852798461914,
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"logps/chosen": -384.8390197753906,
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"loss": 0.5,
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"rewards/margins": 0.0,
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"rewards/rejected": 0.0,
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"step": 1
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},
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{
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"debug/policy_chosen_logits": 1.5860459804534912,
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"debug/policy_chosen_logps": -391.32177734375,
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"debug/policy_rejected_logits": 1.8992308378219604,
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"debug/policy_rejected_logps": -398.1220397949219,
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"debug/reference_chosen_logps": -392.06561279296875,
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"debug/reference_rejected_logps": -398.2801208496094,
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"grad_norm": 3.641806905164277,
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"learning_rate": 5e-07,
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"logits/chosen": 1.5860459804534912,
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"logits/rejected": 1.8992308378219604,
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"logps/chosen": -391.32177734375,
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"logps/rejected": -398.1220397949219,
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"loss": 0.4989,
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"rewards/accuracies": 0.875,
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"rewards/chosen": 0.007438316475600004,
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"rewards/margins": 0.0058576203882694244,
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"rewards/rejected": 0.0015806962037459016,
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"step": 2
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},
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{
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"debug/policy_chosen_logits": 1.9330121278762817,
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"debug/policy_chosen_logps": -374.0859375,
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"debug/policy_rejected_logits": 2.021165609359741,
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"debug/policy_rejected_logps": -400.7498779296875,
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"debug/reference_chosen_logps": -374.1063537597656,
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"debug/reference_rejected_logps": -400.61810302734375,
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"epoch": 0.1111111111111111,
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"grad_norm": 3.138657233492191,
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"learning_rate": 5e-07,
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"logits/chosen": 1.9330121278762817,
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"logits/rejected": 2.021165609359741,
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"logps/chosen": -374.0859375,
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"logps/rejected": -400.7498779296875,
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"loss": 0.4975,
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"rewards/accuracies": 0.5,
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