Model save
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README.md
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) 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 Preparation Time: 0.
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## Model description
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### Training results
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4910
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- Model Preparation Time: 0.0048
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:|
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| 8.4619 | 0.1669 | 100 | 0.5918 | 0.0048 |
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| 0.5531 | 0.3339 | 200 | 0.5314 | 0.0048 |
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| 0.5311 | 0.5008 | 300 | 0.5164 | 0.0048 |
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| 0.5179 | 0.6677 | 400 | 0.5114 | 0.0048 |
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| 0.5168 | 0.8346 | 500 | 0.5072 | 0.0048 |
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| 0.5124 | 1.0016 | 600 | 0.5034 | 0.0048 |
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| 0.5053 | 1.1685 | 700 | 0.5003 | 0.0048 |
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| 0.5047 | 1.3354 | 800 | 0.5001 | 0.0048 |
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| 0.5008 | 1.5023 | 900 | 0.4967 | 0.0048 |
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| 0.4985 | 1.6693 | 1000 | 0.4969 | 0.0048 |
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| 0.4998 | 1.8362 | 1100 | 0.4941 | 0.0048 |
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| 0.4987 | 2.0031 | 1200 | 0.4978 | 0.0048 |
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| 0.4939 | 2.1701 | 1300 | 0.4933 | 0.0048 |
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| 0.4907 | 2.3370 | 1400 | 0.4923 | 0.0048 |
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| 0.4947 | 2.5039 | 1500 | 0.4910 | 0.0048 |
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| 0.4896 | 2.6708 | 1600 | 0.4901 | 0.0048 |
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| 0.4923 | 2.8378 | 1700 | 0.4896 | 0.0048 |
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### Framework versions
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