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dtorber
/
bert-base-cased

Text Classification
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bert
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Training in progress, epoch 1

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4187
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- - F1 Macro: 0.8891
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- - F1: 0.9276
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- - F1 Neg: 0.8506
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- - Acc: 0.9025
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- - Prec: 0.9259
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- - Recall: 0.9294
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- - Mcc: 0.7782
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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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- | No log | 1.0 | 400 | 0.3327 | 0.8398 | 0.8967 | 0.7829 | 0.86 | 0.8497 | 0.9492 | 0.6918 |
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- | 0.4224 | 2.0 | 800 | 0.3854 | 0.8875 | 0.9210 | 0.8541 | 0.8975 | 0.9087 | 0.9336 | 0.7757 |
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- | 0.2483 | 3.0 | 1200 | 0.4423 | 0.8956 | 0.9269 | 0.8643 | 0.905 | 0.9129 | 0.9414 | 0.7921 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3476
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+ - F1 Macro: 0.8986
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+ - F1: 0.9326
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+ - F1 Neg: 0.8647
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+ - Acc: 0.91
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+ - Prec: 0.9396
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+ - Recall: 0.9257
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+ - Mcc: 0.7975
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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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+ | No log | 1.0 | 400 | 0.6003 | 0.7473 | 0.8654 | 0.6291 | 0.8025 | 0.7674 | 0.9922 | 0.5812 |
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+ | 0.4396 | 2.0 | 800 | 0.3386 | 0.8839 | 0.9155 | 0.8522 | 0.8925 | 0.9209 | 0.9102 | 0.7679 |
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+ | 0.2546 | 3.0 | 1200 | 0.3809 | 0.8982 | 0.9290 | 0.8674 | 0.9075 | 0.9132 | 0.9453 | 0.7975 |
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  ### Framework versions
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