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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: 2.4049
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  ## Model description
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@@ -45,10 +45,22 @@ The following hyperparameters were used during training:
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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: 1
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  ### Training results
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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: 2.1773
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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: 251
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.4177 | 0.0 | 25 | 2.6401 |
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+ | 2.5407 | 0.01 | 50 | 2.5820 |
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+ | 2.3887 | 0.01 | 75 | 2.5299 |
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+ | 2.2849 | 0.01 | 100 | 2.4991 |
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+ | 2.2042 | 0.01 | 125 | 2.4802 |
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+ | 2.2574 | 0.02 | 150 | 2.4609 |
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+ | 2.2353 | 0.02 | 175 | 2.4473 |
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+ | 2.3355 | 0.02 | 200 | 2.4449 |
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+ | 2.3044 | 0.03 | 225 | 2.4381 |
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+ | 2.2664 | 0.03 | 250 | 2.4348 |
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  ### Framework versions
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