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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: gpt2 |
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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 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6530 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 20 |
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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 | 0.93 | 7 | 8.2816 | |
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| 9.7888 | 2.0 | 15 | 6.6539 | |
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| 8.253 | 2.93 | 22 | 5.9839 | |
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| 7.4098 | 4.0 | 30 | 5.5296 | |
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| 7.4098 | 4.93 | 37 | 5.1792 | |
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| 6.6836 | 6.0 | 45 | 4.8581 | |
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| 6.2698 | 6.93 | 52 | 4.6282 | |
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| 5.8092 | 8.0 | 60 | 4.4243 | |
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| 5.8092 | 8.93 | 67 | 4.2668 | |
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| 5.3803 | 10.0 | 75 | 4.1214 | |
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| 5.3501 | 10.93 | 82 | 4.0024 | |
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| 5.1278 | 12.0 | 90 | 3.8835 | |
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| 5.1278 | 12.93 | 97 | 3.8106 | |
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| 4.9471 | 14.0 | 105 | 3.7422 | |
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| 4.9279 | 14.93 | 112 | 3.7098 | |
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| 4.8129 | 16.0 | 120 | 3.6740 | |
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| 4.8129 | 16.93 | 127 | 3.6601 | |
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| 4.7258 | 18.0 | 135 | 3.6535 | |
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| 4.8643 | 18.67 | 140 | 3.6530 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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