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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: 0.5650
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- - F1 Macro: 0.8369
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- - F1: 0.9046
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- - F1 Neg: 0.7692
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- - Acc: 0.865
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- - Prec: 0.8620
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- - Recall: 0.9517
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- - Mcc: 0.6855
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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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- | 0.577 | 1.0 | 835 | 0.4689 | 0.8078 | 0.8731 | 0.7424 | 0.83 | 0.8357 | 0.9141 | 0.6228 |
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- | 0.4789 | 2.0 | 1670 | 0.6534 | 0.8241 | 0.8848 | 0.7634 | 0.845 | 0.8440 | 0.9297 | 0.6569 |
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- | 0.3433 | 3.0 | 2505 | 0.7151 | 0.8137 | 0.8729 | 0.7546 | 0.8325 | 0.8487 | 0.8984 | 0.6302 |
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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: 0.3963
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+ - F1 Macro: 0.9034
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+ - F1: 0.9403
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+ - F1 Neg: 0.8664
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+ - Acc: 0.9175
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+ - Prec: 0.9155
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+ - Recall: 0.9665
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+ - Mcc: 0.8102
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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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+ | 0.5951 | 1.0 | 947 | 0.5430 | 0.8465 | 0.8876 | 0.8055 | 0.8575 | 0.8964 | 0.8789 | 0.6933 |
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+ | 0.3947 | 2.0 | 1894 | 0.5327 | 0.8843 | 0.9234 | 0.8453 | 0.8975 | 0.8853 | 0.9648 | 0.7760 |
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+ | 0.2427 | 3.0 | 2841 | 0.5385 | 0.8824 | 0.9168 | 0.8481 | 0.8925 | 0.9080 | 0.9258 | 0.7652 |
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  ### Framework versions
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