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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-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4995
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- - F1 Macro: 0.8801
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- - F1: 0.9146
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- - F1 Neg: 0.8456
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- - Acc: 0.89
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- - Prec: 0.9272
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- - Recall: 0.9023
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- - Mcc: 0.7608
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  ## Model description
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@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
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  ### Training results
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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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- | 0.5806 | 1.0 | 1681 | 0.6537 | 0.8073 | 0.8716 | 0.7430 | 0.8287 | 0.8348 | 0.9118 | 0.6215 |
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- | 0.4629 | 2.0 | 3362 | 0.4867 | 0.8458 | 0.8946 | 0.7971 | 0.8612 | 0.8674 | 0.9235 | 0.6952 |
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- | 0.3256 | 3.0 | 5043 | 0.6003 | 0.8484 | 0.8946 | 0.8022 | 0.8625 | 0.8745 | 0.9157 | 0.6986 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3276
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+ - F1 Macro: 0.8997
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+ - F1: 0.9355
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+ - F1 Neg: 0.8638
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+ - Acc: 0.9125
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+ - Prec: 0.9270
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+ - Recall: 0.9442
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+ - Mcc: 0.7997
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  ## Model description
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  ### Training results
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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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+ | 0.5425 | 1.0 | 824 | 0.4063 | 0.8587 | 0.9067 | 0.8106 | 0.875 | 0.8679 | 0.9492 | 0.7251 |
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+ | 0.3936 | 2.0 | 1648 | 0.4499 | 0.8822 | 0.9211 | 0.8433 | 0.895 | 0.8877 | 0.9570 | 0.7698 |
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+ | 0.2915 | 3.0 | 2472 | 0.5423 | 0.8740 | 0.9112 | 0.8369 | 0.885 | 0.9008 | 0.9219 | 0.7485 |
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  ### Framework versions
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