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End of training

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README.md CHANGED
@@ -18,7 +18,7 @@ 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-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1550
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  ## Model description
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@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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  - train_batch_size: 2
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  - eval_batch_size: 1
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  - seed: 42
@@ -52,26 +52,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.349 | 0.2667 | 50 | 0.3425 |
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- | 0.2797 | 0.5333 | 100 | 0.2671 |
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- | 0.1882 | 0.8 | 150 | 0.1831 |
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- | 0.1593 | 1.0667 | 200 | 0.1748 |
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- | 0.1609 | 1.3333 | 250 | 0.1586 |
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- | 0.1544 | 1.6 | 300 | 0.1575 |
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- | 0.1558 | 1.8667 | 350 | 0.1564 |
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- | 0.1524 | 2.1333 | 400 | 0.1574 |
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- | 0.1527 | 2.4 | 450 | 0.1568 |
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- | 0.1564 | 2.6667 | 500 | 0.1554 |
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- | 0.1523 | 2.9333 | 550 | 0.1563 |
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- | 0.1519 | 3.2 | 600 | 0.1558 |
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- | 0.1532 | 3.4667 | 650 | 0.1555 |
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- | 0.1508 | 3.7333 | 700 | 0.1549 |
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- | 0.1518 | 4.0 | 750 | 0.1550 |
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- | 0.1507 | 4.2667 | 800 | 0.1551 |
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- | 0.1501 | 4.5333 | 850 | 0.1550 |
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- | 0.1477 | 4.8 | 900 | 0.1549 |
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- | 0.1464 | 5.0667 | 950 | 0.1550 |
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- | 0.1488 | 5.3333 | 1000 | 0.1550 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3111
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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  - train_batch_size: 2
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  - eval_batch_size: 1
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.9785 | 0.2667 | 50 | 1.8984 |
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+ | 0.815 | 0.5333 | 100 | 0.6662 |
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+ | 0.4371 | 0.8 | 150 | 0.4306 |
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+ | 0.3721 | 1.0667 | 200 | 0.3807 |
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+ | 0.3439 | 1.3333 | 250 | 0.3367 |
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+ | 0.3251 | 1.6 | 300 | 0.3266 |
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+ | 0.3215 | 1.8667 | 350 | 0.3233 |
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+ | 0.3156 | 2.1333 | 400 | 0.3205 |
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+ | 0.3124 | 2.4 | 450 | 0.3183 |
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+ | 0.3165 | 2.6667 | 500 | 0.3161 |
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+ | 0.3128 | 2.9333 | 550 | 0.3130 |
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+ | 0.3093 | 3.2 | 600 | 0.3120 |
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+ | 0.311 | 3.4667 | 650 | 0.3109 |
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+ | 0.3073 | 3.7333 | 700 | 0.3112 |
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+ | 0.306 | 4.0 | 750 | 0.3115 |
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+ | 0.307 | 4.2667 | 800 | 0.3112 |
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+ | 0.3052 | 4.5333 | 850 | 0.3111 |
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+ | 0.3048 | 4.8 | 900 | 0.3105 |
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+ | 0.3034 | 5.0667 | 950 | 0.3111 |
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+ | 0.3057 | 5.3333 | 1000 | 0.3111 |
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  ### Framework versions
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