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Cielciel/aift-model-review-multiple-label-classification_new

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README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.6138
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- - Accuracy Thresh: 0.9404
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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- | 0.2497 | 1.0 | 845 | 2.3781 | 0.9358 |
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- | 0.253 | 2.0 | 1690 | 2.4414 | 0.9311 |
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- | 0.2419 | 3.0 | 2535 | 3.1739 | 0.9374 |
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- | 0.1993 | 4.0 | 3380 | 2.9218 | 0.9409 |
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- | 0.158 | 5.0 | 4225 | 3.5374 | 0.9395 |
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- | 0.142 | 6.0 | 5070 | 3.8794 | 0.9398 |
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- | 0.1521 | 7.0 | 5915 | 3.7040 | 0.9399 |
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- | 0.1409 | 8.0 | 6760 | 3.5779 | 0.9401 |
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- | 0.1336 | 9.0 | 7605 | 3.7745 | 0.9413 |
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- | 0.1144 | 10.0 | 8450 | 3.6138 | 0.9404 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2623
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+ - Accuracy Thresh: 0.9380
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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+ | 1.6787 | 1.0 | 845 | 0.8456 | 0.8252 |
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+ | 0.749 | 2.0 | 1690 | 0.8447 | 0.8887 |
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+ | 0.5849 | 3.0 | 2535 | 0.9489 | 0.8968 |
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+ | 0.4312 | 4.0 | 3380 | 1.1496 | 0.9084 |
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+ | 0.3469 | 5.0 | 4225 | 1.4157 | 0.9260 |
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+ | 0.2633 | 6.0 | 5070 | 1.8314 | 0.9277 |
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+ | 0.2498 | 7.0 | 5915 | 1.9466 | 0.9355 |
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+ | 0.1782 | 8.0 | 6760 | 1.9609 | 0.9336 |
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+ | 0.1763 | 9.0 | 7605 | 2.2429 | 0.9350 |
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+ | 0.1489 | 10.0 | 8450 | 2.2623 | 0.9380 |
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  ### Framework versions
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