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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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base_model: gpt2 |
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model-index: |
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- name: gpt2-evy |
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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-evy |
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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: 0.5637 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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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 | 1.0 | 31 | 1.1270 | |
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| No log | 2.0 | 62 | 0.9170 | |
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| No log | 3.0 | 93 | 0.8410 | |
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| 1.3727 | 4.0 | 124 | 0.7949 | |
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| 1.3727 | 5.0 | 155 | 0.7361 | |
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| 1.3727 | 6.0 | 186 | 0.7021 | |
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| 0.9077 | 7.0 | 217 | 0.6789 | |
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| 0.9077 | 8.0 | 248 | 0.6490 | |
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| 0.9077 | 9.0 | 279 | 0.6346 | |
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| 0.7106 | 10.0 | 310 | 0.6219 | |
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| 0.7106 | 11.0 | 341 | 0.5986 | |
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| 0.7106 | 12.0 | 372 | 0.5797 | |
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| 0.5814 | 13.0 | 403 | 0.5835 | |
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| 0.5814 | 14.0 | 434 | 0.5872 | |
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| 0.5814 | 15.0 | 465 | 0.5741 | |
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| 0.5814 | 16.0 | 496 | 0.5749 | |
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| 0.4916 | 17.0 | 527 | 0.5662 | |
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| 0.4916 | 18.0 | 558 | 0.5529 | |
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| 0.4916 | 19.0 | 589 | 0.5672 | |
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| 0.4005 | 20.0 | 620 | 0.5646 | |
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| 0.4005 | 21.0 | 651 | 0.5701 | |
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| 0.4005 | 22.0 | 682 | 0.5650 | |
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| 0.357 | 23.0 | 713 | 0.5637 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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