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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: 0.4775
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- - Accuracy: 0.7661
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- - F1: 0.7655
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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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- | No log | 1.0 | 456 | 0.6868 | 0.5181 | 0.3737 |
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- | 0.6882 | 2.0 | 912 | 0.6929 | 0.5404 | 0.4805 |
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- | 0.6472 | 3.0 | 1368 | 0.6147 | 0.7068 | 0.7065 |
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- | 0.6152 | 4.0 | 1824 | 0.4775 | 0.7661 | 0.7655 |
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- | 0.4984 | 5.0 | 2280 | 0.5031 | 0.7751 | 0.7720 |
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- | 0.4517 | 6.0 | 2736 | 0.5381 | 0.7743 | 0.7741 |
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- | 0.3848 | 7.0 | 3192 | 0.6498 | 0.7900 | 0.7882 |
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- | 0.3571 | 8.0 | 3648 | 0.6793 | 0.7801 | 0.7801 |
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- | 0.3343 | 9.0 | 4104 | 0.8301 | 0.7825 | 0.7825 |
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- | 0.3137 | 10.0 | 4560 | 0.9152 | 0.7850 | 0.7850 |
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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: 0.4927
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+ - Accuracy: 0.7743
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+ - F1: 0.7692
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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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+ | No log | 1.0 | 456 | 0.5513 | 0.7545 | 0.7512 |
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+ | 0.6706 | 2.0 | 912 | 0.5147 | 0.7685 | 0.7675 |
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+ | 0.5362 | 3.0 | 1368 | 0.4927 | 0.7743 | 0.7692 |
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+ | 0.4686 | 4.0 | 1824 | 0.6096 | 0.7372 | 0.7366 |
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+ | 0.4149 | 5.0 | 2280 | 0.5597 | 0.7702 | 0.7686 |
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+ | 0.3763 | 6.0 | 2736 | 0.8274 | 0.7759 | 0.7759 |
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+ | 0.3642 | 7.0 | 3192 | 0.8380 | 0.7677 | 0.7669 |
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+ | 0.3207 | 8.0 | 3648 | 0.9043 | 0.7661 | 0.7661 |
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+ | 0.2837 | 9.0 | 4104 | 0.9605 | 0.7727 | 0.7722 |
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+ | 0.2508 | 10.0 | 4560 | 1.0251 | 0.7677 | 0.7677 |
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  ### Framework versions
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runs/May21_04-45-34_0551480a1390/events.out.tfevents.1716268570.0551480a1390.1100.1 ADDED
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