End of training
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README.md
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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:
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 0.
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### Framework versions
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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: 4.6477
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## Model description
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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 | 0.98 | 6 | 10.0906 |
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| 9.1486 | 1.96 | 12 | 6.7033 |
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| 9.1486 | 2.94 | 18 | 5.8931 |
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| 6.8583 | 3.92 | 24 | 5.6861 |
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| 6.6191 | 4.9 | 30 | 5.6068 |
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| 6.6191 | 5.88 | 36 | 5.5426 |
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| 6.3742 | 6.86 | 42 | 5.4848 |
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| 6.3742 | 8.0 | 49 | 5.3937 |
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| 6.3911 | 8.98 | 55 | 5.3093 |
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| 6.3445 | 9.96 | 61 | 5.2252 |
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| 6.3445 | 10.94 | 67 | 5.1060 |
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| 6.1275 | 11.92 | 73 | 4.9838 |
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| 6.1275 | 12.9 | 79 | 4.8939 |
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| 6.108 | 13.88 | 85 | 4.8286 |
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| 5.9782 | 14.86 | 91 | 4.7518 |
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| 5.9782 | 16.0 | 98 | 4.7024 |
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| 5.9191 | 16.98 | 104 | 4.6739 |
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| 5.869 | 17.96 | 110 | 4.6599 |
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| 5.869 | 18.94 | 116 | 4.6488 |
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| 5.7407 | 19.59 | 120 | 4.6477 |
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### Framework versions
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model.safetensors
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