End of training
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README.md
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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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| 2.6239 | 0.09 | 550 | 2.7980 |
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| 2.7273 | 0.09 | 575 | 2.7869 |
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| 2.5436 | 0.1 | 600 | 2.7809 |
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### Framework versions
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4851
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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: 850
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### Training results
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| 2.6239 | 0.09 | 550 | 2.7980 |
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| 2.7273 | 0.09 | 575 | 2.7869 |
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| 2.5436 | 0.1 | 600 | 2.7809 |
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| 2.6159 | 0.1 | 625 | 2.7761 |
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| 2.6563 | 0.1 | 650 | 2.7666 |
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| 2.6728 | 0.11 | 675 | 2.7573 |
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| 2.6047 | 0.11 | 700 | 2.7509 |
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| 2.6237 | 0.12 | 725 | 2.7493 |
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| 2.5305 | 0.12 | 750 | 2.7458 |
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| 2.5329 | 0.12 | 775 | 2.7392 |
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| 2.6538 | 0.13 | 800 | 2.7359 |
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| 2.6079 | 0.13 | 825 | 2.7314 |
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| 2.5927 | 0.14 | 850 | 2.7275 |
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### Framework versions
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model-00001-of-00003.safetensors
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