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End of training

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README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4997
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- - F1-score: 0.8087
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  ## Model description
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@@ -45,18 +45,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1-score |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.6215 | 1.0 | 1057 | 0.5403 | 0.7663 |
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- | 0.5141 | 2.0 | 2114 | 0.4997 | 0.8087 |
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- | 0.5996 | 3.0 | 3171 | 0.7161 | 0.3311 |
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- | 0.7027 | 4.0 | 4228 | 0.7273 | 0.3330 |
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- | 0.7071 | 5.0 | 5285 | 0.7313 | 0.3330 |
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- | 0.6999 | 6.0 | 6342 | 0.7075 | 0.3330 |
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- | 0.7022 | 7.0 | 7399 | 0.7102 | 0.3330 |
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- | 0.7056 | 8.0 | 8456 | 0.6934 | 0.3337 |
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- | 0.6951 | 9.0 | 9513 | 0.6932 | 0.3337 |
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- | 0.6981 | 10.0 | 10570 | 0.6932 | 0.3330 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6925
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+ - F1-score: 0.8767
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1-score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 223 | 0.3699 | 0.8512 |
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+ | No log | 2.0 | 446 | 0.3821 | 0.8476 |
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+ | 0.3652 | 3.0 | 669 | 0.4355 | 0.8719 |
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+ | 0.3652 | 4.0 | 892 | 0.4200 | 0.8755 |
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+ | 0.2357 | 5.0 | 1115 | 0.5924 | 0.8719 |
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+ | 0.2357 | 6.0 | 1338 | 0.6925 | 0.8767 |
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+ | 0.1243 | 7.0 | 1561 | 0.6726 | 0.8636 |
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+ | 0.1243 | 8.0 | 1784 | 0.7976 | 0.8588 |
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+ | 0.0626 | 9.0 | 2007 | 0.7962 | 0.8622 |
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+ | 0.0626 | 10.0 | 2230 | 0.7938 | 0.8622 |
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  ### Framework versions
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