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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| 2.63 | 0.17 | 1050 | 2.7076 |
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| 2.6361 | 0.17 | 1075 | 2.7045 |
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| 2.5534 | 0.18 | 1100 | 2.7046 |
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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: 2.4317
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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: 1350
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### Training results
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| 2.63 | 0.17 | 1050 | 2.7076 |
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| 2.6361 | 0.17 | 1075 | 2.7045 |
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| 2.5534 | 0.18 | 1100 | 2.7046 |
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| 2.5756 | 0.18 | 1125 | 2.7031 |
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| 2.5632 | 0.18 | 1150 | 2.6989 |
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| 2.5971 | 0.19 | 1175 | 2.6960 |
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| 2.4719 | 0.19 | 1200 | 2.6963 |
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| 2.5377 | 0.2 | 1225 | 2.6944 |
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| 2.552 | 0.2 | 1250 | 2.6907 |
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| 2.5748 | 0.2 | 1275 | 2.6894 |
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| 2.5799 | 0.21 | 1300 | 2.6877 |
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| 2.5566 | 0.21 | 1325 | 2.6830 |
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| 2.4415 | 0.22 | 1350 | 2.6818 |
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### Framework versions
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model-00001-of-00003.safetensors
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