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End of training

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0558
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  ## Model description
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@@ -47,16 +47,16 @@ 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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- | 0.1077 | 1.0 | 77 | 0.0958 |
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- | 0.0804 | 2.0 | 154 | 0.0669 |
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- | 0.058 | 3.0 | 231 | 0.0587 |
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- | 0.0515 | 4.0 | 308 | 0.0572 |
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- | 0.0487 | 5.0 | 385 | 0.0566 |
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- | 0.0469 | 6.0 | 462 | 0.0565 |
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- | 0.045 | 7.0 | 539 | 0.0559 |
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- | 0.0433 | 8.0 | 616 | 0.0556 |
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- | 0.0424 | 9.0 | 693 | 0.0558 |
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- | 0.0415 | 10.0 | 770 | 0.0558 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0553
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1088 | 1.0 | 77 | 0.0896 |
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+ | 0.0732 | 2.0 | 154 | 0.0628 |
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+ | 0.0561 | 3.0 | 231 | 0.0575 |
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+ | 0.0509 | 4.0 | 308 | 0.0562 |
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+ | 0.0482 | 5.0 | 385 | 0.0556 |
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+ | 0.0449 | 6.0 | 462 | 0.0554 |
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+ | 0.0438 | 7.0 | 539 | 0.0551 |
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+ | 0.0427 | 8.0 | 616 | 0.0551 |
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+ | 0.0425 | 9.0 | 693 | 0.0553 |
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+ | 0.0412 | 10.0 | 770 | 0.0553 |
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  ### Framework versions
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