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README.md CHANGED
@@ -16,16 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-cased
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3910
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- - F1 Macro: 0.8945
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- - F1: 0.9278
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- - F1 Neg: 0.8613
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- - Acc: 0.905
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- - Prec: 0.9494
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- - Recall: 0.9071
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- - Mcc: 0.7910
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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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- | No log | 1.0 | 400 | 0.3361 | 0.8398 | 0.8967 | 0.7829 | 0.86 | 0.8497 | 0.9492 | 0.6918 |
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- | 0.4176 | 2.0 | 800 | 0.3484 | 0.8845 | 0.9149 | 0.8542 | 0.8925 | 0.9277 | 0.9023 | 0.7697 |
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- | 0.2332 | 3.0 | 1200 | 0.4062 | 0.9023 | 0.9297 | 0.875 | 0.91 | 0.9297 | 0.9297 | 0.8047 |
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  ### Framework versions
 
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  # bert-base-cased
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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: 0.4211
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+ - F1 Macro: 0.8908
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+ - F1: 0.9266
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+ - F1 Neg: 0.8550
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+ - Acc: 0.9025
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+ - Prec: 0.9389
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+ - Recall: 0.9145
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+ - Mcc: 0.7822
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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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+ | 0.5238 | 1.0 | 824 | 0.4772 | 0.8698 | 0.9062 | 0.8333 | 0.88 | 0.9062 | 0.9062 | 0.7396 |
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+ | 0.319 | 2.0 | 1648 | 0.4391 | 0.8940 | 0.9240 | 0.8641 | 0.9025 | 0.9222 | 0.9258 | 0.7881 |
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+ | 0.1949 | 3.0 | 2472 | 0.5378 | 0.8901 | 0.9231 | 0.8571 | 0.9 | 0.9091 | 0.9375 | 0.7811 |
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  ### Framework versions
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