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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: Se124M10KInfPrompt_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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# Se124M10KInfPrompt_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: 0.6872 |
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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: 0.0005 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: cosine |
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- lr_scheduler_warmup_steps: 200 |
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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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| 0.8085 | 1.0 | 610 | 0.7760 | |
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| 0.7801 | 2.0 | 1220 | 0.7436 | |
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| 0.7608 | 3.0 | 1830 | 0.7269 | |
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| 0.7438 | 4.0 | 2440 | 0.7199 | |
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| 0.7413 | 5.0 | 3050 | 0.7118 | |
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| 0.7343 | 6.0 | 3660 | 0.7121 | |
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| 0.7332 | 7.0 | 4270 | 0.7089 | |
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| 0.7319 | 8.0 | 4880 | 0.7025 | |
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| 0.7289 | 9.0 | 5490 | 0.7001 | |
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| 0.7236 | 10.0 | 6100 | 0.6965 | |
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| 0.7147 | 11.0 | 6710 | 0.6970 | |
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| 0.7126 | 12.0 | 7320 | 0.6973 | |
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| 0.7167 | 13.0 | 7930 | 0.6935 | |
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| 0.711 | 14.0 | 8540 | 0.6927 | |
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| 0.7057 | 15.0 | 9150 | 0.6940 | |
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| 0.7109 | 16.0 | 9760 | 0.6924 | |
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| 0.7117 | 17.0 | 10370 | 0.6928 | |
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| 0.7086 | 18.0 | 10980 | 0.6882 | |
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| 0.7004 | 19.0 | 11590 | 0.6872 | |
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| 0.7016 | 20.0 | 12200 | 0.6895 | |
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| 0.7027 | 21.0 | 12810 | 0.6884 | |
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| 0.6928 | 22.0 | 13420 | 0.6885 | |
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| 0.7059 | 23.0 | 14030 | 0.6894 | |
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| 0.6916 | 24.0 | 14640 | 0.6875 | |
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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 |
