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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| 3.0502 | 0.04 | 250 | 3.1769 |
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| 2.8841 | 0.04 | 275 | 3.0628 |
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| 2.8355 | 0.05 | 300 | 2.9948 |
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| 2.
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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: 2.5216
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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: 600
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### Training results
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| 3.0502 | 0.04 | 250 | 3.1769 |
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| 2.8841 | 0.04 | 275 | 3.0628 |
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| 2.8355 | 0.05 | 300 | 2.9948 |
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| 2.794 | 0.05 | 325 | 2.9512 |
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| 2.599 | 0.06 | 350 | 2.9101 |
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| 2.7332 | 0.06 | 375 | 2.8858 |
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| 2.762 | 0.06 | 400 | 2.8619 |
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| 2.7191 | 0.07 | 425 | 2.8410 |
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| 2.6786 | 0.07 | 450 | 2.8276 |
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| 2.5627 | 0.08 | 475 | 2.8122 |
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| 2.6268 | 0.08 | 500 | 2.8027 |
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| 2.6987 | 0.08 | 525 | 2.7941 |
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| 2.603 | 0.09 | 550 | 2.7820 |
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| 2.7082 | 0.09 | 575 | 2.7705 |
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| 2.5288 | 0.1 | 600 | 2.7647 |
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### Framework versions
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model-00001-of-00003.safetensors
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