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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: 0.4565
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- - Train End Logits Accuracy: 0.8766
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- - Train Start Logits Accuracy: 0.8978
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- - Validation Loss: 0.5009
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- - Validation End Logits Accuracy: 0.8776
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- - Validation Start Logits Accuracy: 0.9175
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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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  | 0.6586 | 0.8284 | 0.8598 | 0.5000 | 0.8737 | 0.9124 | 0 |
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  | 0.4565 | 0.8766 | 0.8978 | 0.5009 | 0.8776 | 0.9175 | 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: 0.3185
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+ - Train End Logits Accuracy: 0.9077
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+ - Train Start Logits Accuracy: 0.9272
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+ - Validation Loss: 0.5503
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+ - Validation End Logits Accuracy: 0.875
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+ - Validation Start Logits Accuracy: 0.9111
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 0.6586 | 0.8284 | 0.8598 | 0.5000 | 0.8737 | 0.9124 | 0 |
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  | 0.4565 | 0.8766 | 0.8978 | 0.5009 | 0.8776 | 0.9175 | 1 |
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+ | 0.3185 | 0.9077 | 0.9272 | 0.5503 | 0.875 | 0.9111 | 2 |
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  ### Framework versions
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