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: 3
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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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| 2.261 | 0.11 | 950 | 2.3983 |
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| 2.1146 | 0.12 | 975 | 2.3945 |
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| 2.1637 | 0.12 | 1000 | 2.3920 |
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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: 2.1289
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## Model description
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- total_eval_batch_size: 3
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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: 1251
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### Training results
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| 2.261 | 0.11 | 950 | 2.3983 |
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| 2.1146 | 0.12 | 975 | 2.3945 |
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| 2.1637 | 0.12 | 1000 | 2.3920 |
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| 2.1595 | 0.12 | 1025 | 2.3933 |
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| 2.3698 | 0.13 | 1050 | 2.3932 |
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| 2.2472 | 0.13 | 1075 | 2.3914 |
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| 2.2437 | 0.13 | 1100 | 2.3902 |
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| 2.2625 | 0.13 | 1125 | 2.3911 |
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| 2.2165 | 0.14 | 1150 | 2.3881 |
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| 2.1428 | 0.14 | 1175 | 2.3888 |
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| 2.1683 | 0.14 | 1200 | 2.3908 |
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| 2.1771 | 0.15 | 1225 | 2.3923 |
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| 2.153 | 0.15 | 1250 | 2.3900 |
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### Framework versions
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model-00001-of-00003.safetensors
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