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ninagroot/Llama-360Mtest

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README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4878
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  ## Model description
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@@ -48,26 +48,26 @@ 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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- | No log | 1.0 | 7 | 8.6294 |
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- | No log | 2.0 | 14 | 7.4266 |
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- | 7.6351 | 3.0 | 21 | 6.6887 |
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- | 7.6351 | 4.0 | 28 | 6.2073 |
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- | 7.6351 | 5.0 | 35 | 5.6607 |
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- | 4.8066 | 6.0 | 42 | 5.3291 |
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- | 4.8066 | 7.0 | 49 | 5.1600 |
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- | 4.8066 | 8.0 | 56 | 5.1858 |
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- | 3.1317 | 9.0 | 63 | 5.1762 |
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- | 3.1317 | 10.0 | 70 | 5.2201 |
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- | 3.1317 | 11.0 | 77 | 5.2886 |
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- | 1.8969 | 12.0 | 84 | 5.2965 |
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- | 1.8969 | 13.0 | 91 | 5.3368 |
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- | 1.8969 | 14.0 | 98 | 5.3904 |
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- | 0.8088 | 15.0 | 105 | 5.3941 |
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- | 0.8088 | 16.0 | 112 | 5.4356 |
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- | 0.8088 | 17.0 | 119 | 5.4636 |
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- | 0.2919 | 18.0 | 126 | 5.4765 |
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- | 0.2919 | 19.0 | 133 | 5.4868 |
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- | 0.1383 | 20.0 | 140 | 5.4878 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.4940
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 9.479 | 1.0 | 7 | 8.7145 |
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+ | 8.0855 | 2.0 | 14 | 7.4514 |
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+ | 6.1163 | 3.0 | 21 | 6.7073 |
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+ | 5.6369 | 4.0 | 28 | 6.1912 |
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+ | 4.5226 | 5.0 | 35 | 5.6228 |
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+ | 3.9429 | 6.0 | 42 | 5.2825 |
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+ | 3.6281 | 7.0 | 49 | 5.1522 |
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+ | 2.9972 | 8.0 | 56 | 5.1116 |
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+ | 2.6381 | 9.0 | 63 | 5.1819 |
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+ | 2.086 | 10.0 | 70 | 5.1975 |
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+ | 1.6887 | 11.0 | 77 | 5.2503 |
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+ | 1.4587 | 12.0 | 84 | 5.2902 |
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+ | 0.8906 | 13.0 | 91 | 5.3147 |
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+ | 0.6621 | 14.0 | 98 | 5.3620 |
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+ | 0.438 | 15.0 | 105 | 5.4429 |
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+ | 0.3238 | 16.0 | 112 | 5.4327 |
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+ | 0.2746 | 17.0 | 119 | 5.4741 |
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+ | 0.1768 | 18.0 | 126 | 5.4815 |
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+ | 0.158 | 19.0 | 133 | 5.4927 |
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+ | 0.1372 | 20.0 | 140 | 5.4940 |
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  ### Framework versions
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