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--- |
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library_name: peft |
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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: Se124M500KInfPrompt_endtoken |
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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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# Se124M500KInfPrompt_endtoken |
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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: 0.6716 |
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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-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: linear |
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- num_epochs: 50 |
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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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| 0.1898 | 1.0 | 5427 | 0.7433 | |
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| 0.1857 | 2.0 | 10854 | 0.7238 | |
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| 0.1843 | 3.0 | 16281 | 0.7118 | |
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| 0.1813 | 4.0 | 21708 | 0.7045 | |
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| 0.1802 | 5.0 | 27135 | 0.6990 | |
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| 0.1785 | 6.0 | 32562 | 0.6944 | |
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| 0.1769 | 7.0 | 37989 | 0.6918 | |
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| 0.1743 | 8.0 | 43416 | 0.6875 | |
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| 0.1752 | 9.0 | 48843 | 0.6854 | |
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| 0.1756 | 10.0 | 54270 | 0.6854 | |
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| 0.1736 | 11.0 | 59697 | 0.6837 | |
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| 0.1756 | 12.0 | 65124 | 0.6812 | |
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| 0.173 | 13.0 | 70551 | 0.6798 | |
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| 0.1737 | 14.0 | 75978 | 0.6791 | |
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| 0.1741 | 15.0 | 81405 | 0.6783 | |
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| 0.177 | 16.0 | 86832 | 0.6771 | |
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| 0.1734 | 17.0 | 92259 | 0.6765 | |
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| 0.1719 | 18.0 | 97686 | 0.6760 | |
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| 0.1737 | 19.0 | 103113 | 0.6763 | |
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| 0.1716 | 20.0 | 108540 | 0.6747 | |
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| 0.1713 | 21.0 | 113967 | 0.6741 | |
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| 0.1739 | 22.0 | 119394 | 0.6738 | |
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| 0.1694 | 23.0 | 124821 | 0.6737 | |
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| 0.1703 | 24.0 | 130248 | 0.6743 | |
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| 0.1697 | 25.0 | 135675 | 0.6730 | |
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| 0.172 | 26.0 | 141102 | 0.6731 | |
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| 0.1711 | 27.0 | 146529 | 0.6720 | |
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| 0.1726 | 28.0 | 151956 | 0.6720 | |
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| 0.1703 | 29.0 | 157383 | 0.6716 | |
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| 0.1732 | 30.0 | 162810 | 0.6716 | |
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| 0.171 | 31.0 | 168237 | 0.6719 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
