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ninagroot/GPT2-705M

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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: 3.6360
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  ## Model description
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@@ -48,21 +48,21 @@ 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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- | 6.8909 | 1.0 | 3 | 6.8543 |
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- | 6.5777 | 2.0 | 6 | 6.6044 |
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- | 6.1737 | 3.0 | 9 | 6.0199 |
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- | 4.9169 | 4.0 | 12 | 5.6155 |
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- | 4.8865 | 5.0 | 15 | 5.0512 |
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- | 4.5264 | 6.0 | 18 | 5.0486 |
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- | 4.4735 | 7.0 | 21 | 4.8273 |
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- | 4.2863 | 8.0 | 24 | 4.5819 |
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- | 4.2414 | 9.0 | 27 | 4.3691 |
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- | 3.8679 | 10.0 | 30 | 4.1423 |
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- | 3.6495 | 11.0 | 33 | 3.9487 |
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- | 3.5756 | 12.0 | 36 | 3.7239 |
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- | 3.3813 | 13.0 | 39 | 3.6837 |
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- | 3.3619 | 14.0 | 42 | 3.6824 |
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- | 2.9598 | 15.0 | 45 | 3.6360 |
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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: 3.5805
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 6.872 | 1.0 | 3 | 6.7840 |
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+ | 6.4623 | 2.0 | 6 | 6.5344 |
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+ | 6.1624 | 3.0 | 9 | 6.1049 |
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+ | 4.8878 | 4.0 | 12 | 5.8237 |
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+ | 4.908 | 5.0 | 15 | 5.1010 |
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+ | 4.6666 | 6.0 | 18 | 5.0636 |
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+ | 4.4854 | 7.0 | 21 | 4.7967 |
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+ | 5.0298 | 8.0 | 24 | 5.1645 |
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+ | 4.4216 | 9.0 | 27 | 4.4990 |
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+ | 4.1914 | 10.0 | 30 | 4.3240 |
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+ | 3.909 | 11.0 | 33 | 4.1773 |
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+ | 3.8537 | 12.0 | 36 | 3.9425 |
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+ | 3.4798 | 13.0 | 39 | 3.8305 |
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+ | 3.487 | 14.0 | 42 | 3.8480 |
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+ | 3.1947 | 15.0 | 45 | 3.5805 |
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  ### Framework versions
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