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README.md CHANGED
@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4483
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- - F1 Macro: 0.9009
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- - F1: 0.9348
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- - F1 Neg: 0.8669
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  - Acc: 0.9125
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- - Prec: 0.9366
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- - Recall: 0.9331
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- - Mcc: 0.8018
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  ## Model description
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@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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- | 0.5215 | 1.0 | 824 | 0.3984 | 0.8854 | 0.9186 | 0.8521 | 0.895 | 0.9115 | 0.9258 | 0.7709 |
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- | 0.3194 | 2.0 | 1648 | 0.4032 | 0.8978 | 0.9293 | 0.8664 | 0.9075 | 0.9101 | 0.9492 | 0.7973 |
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- | 0.193 | 3.0 | 2472 | 0.4723 | 0.9037 | 0.9328 | 0.8746 | 0.9125 | 0.9170 | 0.9492 | 0.8085 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3765
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+ - F1 Macro: 0.8988
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+ - F1: 0.9360
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+ - F1 Neg: 0.8617
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  - Acc: 0.9125
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+ - Prec: 0.9209
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+ - Recall: 0.9517
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+ - Mcc: 0.7989
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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+ | 0.5022 | 1.0 | 824 | 0.4717 | 0.8752 | 0.9102 | 0.8403 | 0.885 | 0.9102 | 0.9102 | 0.7504 |
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+ | 0.3452 | 2.0 | 1648 | 0.4330 | 0.8882 | 0.9245 | 0.8519 | 0.9 | 0.8942 | 0.9570 | 0.7808 |
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+ | 0.2232 | 3.0 | 2472 | 0.5604 | 0.8652 | 0.9060 | 0.8244 | 0.8775 | 0.8906 | 0.9219 | 0.7314 |
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  ### Framework versions
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