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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| 2.2584 | 0.51 | 3200 | 2.4062 |
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| 2.1848 | 0.52 | 3225 | 2.4075 |
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| 2.1779 | 0.52 | 3250 | 2.4066 |
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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: 2.1297
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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: 3750
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### Training results
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| 2.2584 | 0.51 | 3200 | 2.4062 |
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| 2.1848 | 0.52 | 3225 | 2.4075 |
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| 2.1779 | 0.52 | 3250 | 2.4066 |
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| 2.2542 | 0.52 | 3275 | 2.4041 |
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| 2.2406 | 0.53 | 3300 | 2.4066 |
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| 2.1247 | 0.53 | 3325 | 2.4023 |
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| 2.2576 | 0.54 | 3350 | 2.4041 |
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| 2.1636 | 0.54 | 3375 | 2.4023 |
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| 2.1781 | 0.54 | 3400 | 2.4056 |
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| 2.1949 | 0.55 | 3425 | 2.4047 |
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| 2.1119 | 0.55 | 3450 | 2.4070 |
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| 2.2437 | 0.56 | 3475 | 2.4096 |
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| 2.281 | 0.56 | 3500 | 2.4040 |
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| 2.2499 | 0.56 | 3525 | 2.4063 |
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| 2.2129 | 0.57 | 3550 | 2.4052 |
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| 2.2115 | 0.57 | 3575 | 2.4050 |
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| 2.375 | 0.58 | 3600 | 2.4050 |
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| 2.1891 | 0.58 | 3625 | 2.4082 |
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| 2.3929 | 0.58 | 3650 | 2.4038 |
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| 2.1928 | 0.59 | 3675 | 2.4079 |
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| 2.3194 | 0.59 | 3700 | 2.4067 |
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| 2.2286 | 0.6 | 3725 | 2.4086 |
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| 2.1629 | 0.6 | 3750 | 2.4058 |
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### Framework versions
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model-00001-of-00003.safetensors
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