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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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model-index: |
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- name: gpt2-finetuned-v4-seinfeld |
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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-finetuned-v4-seinfeld |
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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: 2.6941 |
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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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- 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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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 15 |
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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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| 3.1734 | 0.79 | 8 | 2.9417 | |
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| 3.1576 | 1.59 | 16 | 2.9239 | |
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| 3.1234 | 2.4 | 24 | 2.8920 | |
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| 3.0712 | 3.2 | 32 | 2.8634 | |
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| 2.9738 | 3.99 | 40 | 2.8342 | |
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| 2.9761 | 4.79 | 48 | 2.8069 | |
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| 2.9294 | 5.59 | 56 | 2.7844 | |
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| 2.9026 | 6.4 | 64 | 2.7665 | |
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| 2.8501 | 7.2 | 72 | 2.7544 | |
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| 2.7805 | 7.99 | 80 | 2.7398 | |
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| 2.7905 | 8.79 | 88 | 2.7293 | |
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| 2.7661 | 9.59 | 96 | 2.7204 | |
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| 2.7272 | 10.4 | 104 | 2.7131 | |
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| 2.7092 | 11.2 | 112 | 2.7056 | |
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| 2.6392 | 11.99 | 120 | 2.7010 | |
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| 2.6468 | 12.79 | 128 | 2.6961 | |
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| 2.6269 | 13.59 | 136 | 2.6899 | |
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| 2.5952 | 14.4 | 144 | 2.6874 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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