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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: 0.4340
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- - F1 Macro: 0.8964
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- - F1: 0.9303
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- - F1 Neg: 0.8625
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- - Acc: 0.9075
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- - Prec: 0.9427
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- - Recall: 0.9182
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- - Mcc: 0.7935
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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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- | 0.5639 | 1.0 | 841 | 0.4433 | 0.8482 | 0.8858 | 0.8106 | 0.8575 | 0.9095 | 0.8633 | 0.6984 |
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- | 0.308 | 2.0 | 1682 | 0.4278 | 0.8875 | 0.9210 | 0.8541 | 0.8975 | 0.9087 | 0.9336 | 0.7757 |
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- | 0.1499 | 3.0 | 2523 | 0.5296 | 0.8930 | 0.9203 | 0.8658 | 0.9 | 0.9390 | 0.9023 | 0.7874 |
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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: 0.3829
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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 Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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+ | 0.5749 | 1.0 | 947 | 0.5187 | 0.8416 | 0.8832 | 0.8000 | 0.8525 | 0.8956 | 0.8711 | 0.6838 |
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+ | 0.4043 | 2.0 | 1894 | 0.5098 | 0.8804 | 0.9184 | 0.8425 | 0.8925 | 0.8930 | 0.9453 | 0.7639 |
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+ | 0.2253 | 3.0 | 2841 | 0.5361 | 0.8777 | 0.9123 | 0.8432 | 0.8875 | 0.9105 | 0.9141 | 0.7555 |
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  ### Framework versions
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