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: 5.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 6.
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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: 5.4616
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 6.48 | 1.17 | 500 | 6.1099 |
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| 5.5792 | 2.35 | 1000 | 5.7804 |
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| 5.1247 | 3.52 | 1500 | 5.6199 |
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| 4.7774 | 4.69 | 2000 | 5.5176 |
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| 4.4701 | 5.87 | 2500 | 5.4713 |
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| 4.1836 | 7.04 | 3000 | 5.4591 |
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| 3.9183 | 8.22 | 3500 | 5.4620 |
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| 3.7163 | 9.39 | 4000 | 5.4616 |
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### Framework versions
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model.safetensors
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runs/Feb12_20-42-46_nlp-gpu-01.be.ucsc.edu/events.out.tfevents.1707799367.nlp-gpu-01.be.ucsc.edu.76007.1
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