Training in progress, step 6187
Browse files- README.md +71 -0
- generation_config.json +6 -0
- logs/distillation_objective=LinearObjective_logits_weight_1__logits_loss_fn__function_kl_divergence_loss_at_0x7f57c4b07910___activations_weight_0__activations_loss_fn__function_mse_loss_at_0x7f57c4b07880__/events.out.tfevents.1723345150.715f24f8d8b8 +3 -0
- logs/distillation_objective=_distily_objectives_LegacyObjective_object_at_0x7f252bcd7fd0_/events.out.tfevents.1723344849.715f24f8d8b8 +3 -0
- model.safetensors +1 -1
- training_args.bin +2 -2
README.md
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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: distily_bench_gpt2_linear_objectives
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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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# distily_bench_gpt2_linear_objectives
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8689.6641
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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: 4e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0 | 0 | 338272.25 |
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| 14496.0 | 0.0808 | 500 | 11190.9121 |
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| 12080.0 | 0.1616 | 1000 | 10443.1357 |
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| 15856.0 | 0.2424 | 1500 | 10039.6162 |
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| 12192.0 | 0.3232 | 2000 | 9736.1924 |
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| 12784.0 | 0.4040 | 2500 | 9512.1279 |
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| 13216.0 | 0.4848 | 3000 | 9331.4561 |
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| 10856.0 | 0.5657 | 3500 | 9238.5283 |
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| 12256.0 | 0.6465 | 4000 | 9076.0957 |
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| 9856.0 | 0.7273 | 4500 | 8944.4482 |
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| 12512.0 | 0.8081 | 5000 | 8849.7275 |
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| 10224.0 | 0.8889 | 5500 | 8798.5918 |
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| 10688.0 | 0.9697 | 6000 | 8741.2480 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.44.0"
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}
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logs/distillation_objective=LinearObjective_logits_weight_1__logits_loss_fn__function_kl_divergence_loss_at_0x7f57c4b07910___activations_weight_0__activations_loss_fn__function_mse_loss_at_0x7f57c4b07880__/events.out.tfevents.1723345150.715f24f8d8b8
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size 1317438
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logs/distillation_objective=_distily_objectives_LegacyObjective_object_at_0x7f252bcd7fd0_/events.out.tfevents.1723344849.715f24f8d8b8
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model.safetensors
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training_args.bin
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