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End of training

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1216
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- - Precision: 0.5864
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- - Recall: 0.4015
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- - F1: 0.4766
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- - Accuracy: 0.9679
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  ## Model description
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@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 0.99 | 33 | 0.1546 | 0.5429 | 0.0033 | 0.0065 | 0.9547 |
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- | No log | 1.98 | 66 | 0.1291 | 0.4814 | 0.3492 | 0.4048 | 0.9656 |
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- | No log | 2.98 | 99 | 0.1216 | 0.5864 | 0.4015 | 0.4766 | 0.9679 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1134
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+ - Precision: 0.6850
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+ - Recall: 0.7560
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+ - F1: 0.7188
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+ - Accuracy: 0.9692
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 265 | 0.1490 | 0.5769 | 0.5816 | 0.5792 | 0.9579 |
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+ | 0.0775 | 2.0 | 530 | 0.1131 | 0.6524 | 0.7527 | 0.6989 | 0.9680 |
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+ | 0.0775 | 3.0 | 795 | 0.1134 | 0.6850 | 0.7560 | 0.7188 | 0.9692 |
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  ### Framework versions
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