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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: 2.4529
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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: 1100
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  ### Training results
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@@ -95,6 +95,16 @@ The following hyperparameters were used during training:
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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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