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Training completed!

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README.md CHANGED
@@ -18,9 +18,9 @@ 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-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4739
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- - Accuracy: 0.7904
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- - F1: 0.7903
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  ## Model description
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@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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- | 0.4741 | 1.0 | 2522 | 0.4747 | 0.7773 | 0.7772 |
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- | 0.4248 | 2.0 | 5044 | 0.4739 | 0.7904 | 0.7903 |
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- | 0.3912 | 3.0 | 7566 | 0.5676 | 0.7838 | 0.7834 |
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- | 0.3674 | 4.0 | 10088 | 0.6120 | 0.7916 | 0.7915 |
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- | 0.3383 | 5.0 | 12610 | 0.7909 | 0.7907 | 0.7905 |
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- | 0.3303 | 6.0 | 15132 | 0.8127 | 0.7886 | 0.7885 |
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- | 0.3049 | 7.0 | 17654 | 0.9751 | 0.7890 | 0.7889 |
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- | 0.2488 | 8.0 | 20176 | 1.0986 | 0.7800 | 0.7799 |
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- | 0.2188 | 9.0 | 22698 | 1.1960 | 0.7762 | 0.7762 |
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- | 0.1971 | 10.0 | 25220 | 1.2763 | 0.7761 | 0.7761 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5053
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+ - Accuracy: 0.7917
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+ - F1: 0.7916
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 0.5096 | 1.0 | 2522 | 0.5328 | 0.7435 | 0.7390 |
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+ | 0.4591 | 2.0 | 5044 | 0.5231 | 0.7924 | 0.7923 |
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+ | 0.4182 | 3.0 | 7566 | 0.5053 | 0.7917 | 0.7916 |
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+ | 0.3931 | 4.0 | 10088 | 0.5470 | 0.7978 | 0.7976 |
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+ | 0.3558 | 5.0 | 12610 | 0.7055 | 0.7877 | 0.7866 |
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+ | 0.3409 | 6.0 | 15132 | 0.7529 | 0.7893 | 0.7886 |
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+ | 0.3036 | 7.0 | 17654 | 0.8570 | 0.7965 | 0.7963 |
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+ | 0.2938 | 8.0 | 20176 | 0.9075 | 0.7923 | 0.7920 |
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+ | 0.236 | 9.0 | 22698 | 1.0325 | 0.7886 | 0.7882 |
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+ | 0.224 | 10.0 | 25220 | 1.0438 | 0.7911 | 0.7908 |
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  ### Framework versions
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runs/May17_05-45-07_0551480a1390/events.out.tfevents.1715933241.0551480a1390.38726.1 ADDED
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