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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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datasets: |
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- tiny_shakespeare |
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model-index: |
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- name: gpt2.shak |
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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.shak |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the tiny_shakespeare dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1852 |
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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: 3e-05 |
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- train_batch_size: 3 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3259 | 1.0 | 98 | 3.2194 | |
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| 3.3527 | 2.0 | 196 | 3.2017 | |
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| 3.1783 | 3.0 | 294 | 3.1900 | |
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| 3.2653 | 4.0 | 392 | 3.1863 | |
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| 3.2787 | 5.0 | 490 | 3.1852 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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