End of training
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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: 2.
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## Model description
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- total_eval_batch_size: 4
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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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- training_steps:
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### Training results
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| 2.6303 | 0.24 | 750 | 2.8400 |
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| 2.6914 | 0.25 | 775 | 2.8327 |
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| 2.7409 | 0.26 | 800 | 2.8241 |
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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: 2.5560
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## Model description
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- total_eval_batch_size: 4
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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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- training_steps: 1000
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### Training results
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| 2.6303 | 0.24 | 750 | 2.8400 |
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| 2.6914 | 0.25 | 775 | 2.8327 |
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| 2.7409 | 0.26 | 800 | 2.8241 |
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| 2.7072 | 0.26 | 825 | 2.8182 |
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| 2.6851 | 0.27 | 850 | 2.8120 |
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| 2.6687 | 0.28 | 875 | 2.8054 |
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| 2.6158 | 0.29 | 900 | 2.7999 |
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| 2.8079 | 0.3 | 925 | 2.7939 |
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| 2.7443 | 0.3 | 950 | 2.7891 |
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| 2.6934 | 0.31 | 975 | 2.7850 |
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| 2.5733 | 0.32 | 1000 | 2.7790 |
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### Framework versions
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model-00001-of-00003.safetensors
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