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--- |
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library_name: transformers |
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license: other |
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base_model: facebook/opt-125m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2_ACoT |
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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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# gpt2_ACoT |
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9497 |
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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: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 21.1265 | 1.0 | 276 | 2.5543 | |
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| 18.2347 | 2.0 | 552 | 2.2861 | |
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| 16.8533 | 3.0 | 828 | 2.1435 | |
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| 15.6224 | 4.0 | 1104 | 2.0605 | |
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| 14.7096 | 5.0 | 1380 | 2.0051 | |
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| 14.1231 | 6.0 | 1656 | 1.9733 | |
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| 13.5673 | 7.0 | 1932 | 1.9566 | |
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| 13.1727 | 8.0 | 2208 | 1.9493 | |
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| 13.0597 | 9.0 | 2484 | 1.9492 | |
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| 12.9195 | 10.0 | 2760 | 1.9497 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.2 |
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