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bif02/pair_classifier

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README.md CHANGED
@@ -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 [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3542
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  - Accuracy: 0.9428
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  ## Model description
@@ -50,12 +50,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5869 | 1.0 | 1381 | 0.3035 | 0.9428 |
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- | 0.5867 | 2.0 | 2762 | 0.3626 | 0.9428 |
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- | 0.5886 | 3.0 | 4143 | 0.3184 | 0.9428 |
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- | 0.5851 | 4.0 | 5524 | 0.4084 | 0.9428 |
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- | 0.5833 | 5.0 | 6905 | 0.3374 | 0.9428 |
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- | 0.5861 | 6.0 | 8286 | 0.3542 | 0.9428 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6711
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  - Accuracy: 0.9428
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5939 | 1.0 | 756 | 0.7306 | 0.4960 |
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+ | 0.5951 | 2.0 | 1512 | 0.6877 | 0.9428 |
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+ | 0.696 | 3.0 | 2268 | 0.7393 | 0.0572 |
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+ | 0.6936 | 4.0 | 3024 | 0.7141 | 0.0572 |
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+ | 0.6949 | 5.0 | 3780 | 0.6734 | 0.9428 |
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+ | 0.6944 | 6.0 | 4536 | 0.6711 | 0.9428 |
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  ### Framework versions
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