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Training in progress epoch 2

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README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/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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- - Train Loss: 0.7320
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- - Train End Logits Accuracy: 0.7845
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- - Train Start Logits Accuracy: 0.8353
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- - Validation Loss: 0.4831
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- - Validation End Logits Accuracy: 0.8428
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- - Validation Start Logits Accuracy: 0.8943
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- - Epoch: 1
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 1.4834 | 0.6341 | 0.6723 | 0.5428 | 0.8222 | 0.8905 | 0 |
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  | 0.7320 | 0.7845 | 0.8353 | 0.4831 | 0.8428 | 0.8943 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/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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+ - Train Loss: 0.5102
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+ - Train End Logits Accuracy: 0.8419
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+ - Train Start Logits Accuracy: 0.8865
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+ - Validation Loss: 0.4814
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+ - Validation End Logits Accuracy: 0.8518
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+ - Validation Start Logits Accuracy: 0.9072
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 1.4834 | 0.6341 | 0.6723 | 0.5428 | 0.8222 | 0.8905 | 0 |
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  | 0.7320 | 0.7845 | 0.8353 | 0.4831 | 0.8428 | 0.8943 | 1 |
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+ | 0.5102 | 0.8419 | 0.8865 | 0.4814 | 0.8518 | 0.9072 | 2 |
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  ### Framework versions
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