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<deboramachadoandrade>/mistral-7binstruct-summary-100s

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README.md CHANGED
@@ -20,7 +20,7 @@ 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 the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4924
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  ## Model description
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@@ -52,18 +52,18 @@ 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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- | 1.6188 | 0.22 | 25 | 1.5050 |
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- | 1.5803 | 0.43 | 50 | 1.4716 |
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- | 1.541 | 0.65 | 75 | 1.4659 |
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- | 1.5501 | 0.86 | 100 | 1.4611 |
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- | 1.3937 | 1.08 | 125 | 1.4710 |
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- | 1.388 | 1.29 | 150 | 1.4705 |
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- | 1.3811 | 1.51 | 175 | 1.4681 |
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- | 1.2997 | 1.72 | 200 | 1.4695 |
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- | 1.3746 | 1.94 | 225 | 1.4583 |
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- | 1.2607 | 2.16 | 250 | 1.4895 |
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- | 1.172 | 2.37 | 275 | 1.4936 |
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- | 1.1847 | 2.59 | 300 | 1.4924 |
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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 the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5138
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.5958 | 0.03 | 25 | 1.5827 |
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+ | 1.5245 | 0.05 | 50 | 1.5574 |
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+ | 1.5865 | 0.08 | 75 | 1.5528 |
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+ | 1.5586 | 0.11 | 100 | 1.5438 |
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+ | 1.4311 | 0.13 | 125 | 1.5382 |
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+ | 1.6084 | 0.16 | 150 | 1.5360 |
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+ | 1.531 | 0.19 | 175 | 1.5254 |
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+ | 1.5787 | 0.22 | 200 | 1.5217 |
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+ | 1.4842 | 0.24 | 225 | 1.5182 |
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+ | 1.4974 | 0.27 | 250 | 1.5154 |
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+ | 1.5111 | 0.3 | 275 | 1.5140 |
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+ | 1.4698 | 0.32 | 300 | 1.5138 |
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  ### Framework versions
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