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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.3837
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  ## Model description
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@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
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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: 2350
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  ### Training results
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@@ -143,8 +143,18 @@ The following hyperparameters were used during training:
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  | 2.4568 | 0.36 | 2250 | 2.6481 |
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  | 2.5701 | 0.36 | 2275 | 2.6465 |
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  | 2.5403 | 0.37 | 2300 | 2.6467 |
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- | 2.4353 | 0.37 | 2325 | 2.6467 |
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- | 2.4829 | 0.38 | 2350 | 2.6485 |
 
 
 
 
 
 
 
 
 
 
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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: 2.3749
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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: 2600
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  ### Training results
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  | 2.4568 | 0.36 | 2250 | 2.6481 |
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  | 2.5701 | 0.36 | 2275 | 2.6465 |
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  | 2.5403 | 0.37 | 2300 | 2.6467 |
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+ | 2.435 | 0.37 | 2325 | 2.6472 |
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+ | 2.4823 | 0.38 | 2350 | 2.6479 |
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+ | 2.536 | 0.38 | 2375 | 2.6468 |
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+ | 2.5171 | 0.38 | 2400 | 2.6470 |
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+ | 2.3852 | 0.39 | 2425 | 2.6475 |
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+ | 2.3807 | 0.39 | 2450 | 2.6471 |
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+ | 2.4753 | 0.4 | 2475 | 2.6456 |
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+ | 2.5507 | 0.4 | 2500 | 2.6442 |
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+ | 2.5331 | 0.4 | 2525 | 2.6441 |
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+ | 2.3988 | 0.41 | 2550 | 2.6415 |
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+ | 2.425 | 0.41 | 2575 | 2.6403 |
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+ | 2.5062 | 0.42 | 2600 | 2.6429 |
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  ### Framework versions
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