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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: 2.5401
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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: 600
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  ### Training results
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@@ -75,6 +75,16 @@ The following hyperparameters were used during training:
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  | 2.6239 | 0.09 | 550 | 2.7980 |
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  | 2.7273 | 0.09 | 575 | 2.7869 |
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  | 2.5436 | 0.1 | 600 | 2.7809 |
 
 
 
 
 
 
 
 
 
 
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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: 2.4851
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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: 850
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  ### Training results
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  | 2.6239 | 0.09 | 550 | 2.7980 |
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  | 2.7273 | 0.09 | 575 | 2.7869 |
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  | 2.5436 | 0.1 | 600 | 2.7809 |
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+ | 2.6159 | 0.1 | 625 | 2.7761 |
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+ | 2.6563 | 0.1 | 650 | 2.7666 |
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+ | 2.6728 | 0.11 | 675 | 2.7573 |
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+ | 2.6047 | 0.11 | 700 | 2.7509 |
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+ | 2.6237 | 0.12 | 725 | 2.7493 |
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+ | 2.5305 | 0.12 | 750 | 2.7458 |
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+ | 2.5329 | 0.12 | 775 | 2.7392 |
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+ | 2.6538 | 0.13 | 800 | 2.7359 |
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+ | 2.6079 | 0.13 | 825 | 2.7314 |
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+ | 2.5927 | 0.14 | 850 | 2.7275 |
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  ### Framework versions
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