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@@ -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 [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6969
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  ## Model description
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@@ -50,31 +50,31 @@ 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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- | 2.9323 | 0.4 | 10 | 2.3454 |
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- | 1.8157 | 0.8 | 20 | 1.2996 |
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- | 1.0619 | 1.2 | 30 | 0.9573 |
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- | 0.9194 | 1.6 | 40 | 0.8412 |
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- | 0.8632 | 2.0 | 50 | 0.7692 |
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- | 0.7134 | 2.4 | 60 | 0.7218 |
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- | 0.713 | 2.8 | 70 | 0.6712 |
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- | 0.5945 | 3.2 | 80 | 0.6554 |
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- | 0.5862 | 3.6 | 90 | 0.6273 |
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- | 0.5921 | 4.0 | 100 | 0.5959 |
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- | 0.4869 | 4.4 | 110 | 0.6252 |
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- | 0.4996 | 4.8 | 120 | 0.5930 |
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- | 0.4916 | 5.2 | 130 | 0.6227 |
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- | 0.4385 | 5.6 | 140 | 0.6186 |
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- | 0.4755 | 6.0 | 150 | 0.6063 |
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- | 0.4194 | 6.4 | 160 | 0.6827 |
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- | 0.4211 | 6.8 | 170 | 0.6189 |
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- | 0.3944 | 7.2 | 180 | 0.6656 |
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- | 0.3687 | 7.6 | 190 | 0.6673 |
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- | 0.3811 | 8.0 | 200 | 0.6728 |
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- | 0.3537 | 8.4 | 210 | 0.7390 |
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- | 0.3427 | 8.8 | 220 | 0.6733 |
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- | 0.3373 | 9.2 | 230 | 0.7724 |
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- | 0.3415 | 9.6 | 240 | 0.6975 |
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- | 0.3325 | 10.0 | 250 | 0.6969 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7340
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.9331 | 0.4 | 10 | 2.3499 |
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+ | 1.8204 | 0.8 | 20 | 1.3074 |
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+ | 1.0645 | 1.2 | 30 | 0.9558 |
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+ | 0.9181 | 1.6 | 40 | 0.8424 |
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+ | 0.8628 | 2.0 | 50 | 0.7672 |
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+ | 0.713 | 2.4 | 60 | 0.7212 |
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+ | 0.7126 | 2.8 | 70 | 0.6701 |
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+ | 0.594 | 3.2 | 80 | 0.6538 |
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+ | 0.5837 | 3.6 | 90 | 0.6244 |
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+ | 0.5894 | 4.0 | 100 | 0.5972 |
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+ | 0.4848 | 4.4 | 110 | 0.6270 |
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+ | 0.4968 | 4.8 | 120 | 0.5959 |
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+ | 0.4858 | 5.2 | 130 | 0.6219 |
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+ | 0.4386 | 5.6 | 140 | 0.6180 |
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+ | 0.4708 | 6.0 | 150 | 0.6219 |
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+ | 0.4155 | 6.4 | 160 | 0.6828 |
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+ | 0.4172 | 6.8 | 170 | 0.6184 |
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+ | 0.3948 | 7.2 | 180 | 0.6742 |
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+ | 0.3676 | 7.6 | 190 | 0.6573 |
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+ | 0.3801 | 8.0 | 200 | 0.6624 |
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+ | 0.3527 | 8.4 | 210 | 0.7313 |
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+ | 0.3507 | 8.8 | 220 | 0.6588 |
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+ | 0.3362 | 9.2 | 230 | 0.7390 |
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+ | 0.3228 | 9.6 | 240 | 0.7091 |
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+ | 0.3306 | 10.0 | 250 | 0.7340 |
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  ### Framework versions