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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: 0.7226
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- - Train End Logits Accuracy: 0.7896
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- - Train Start Logits Accuracy: 0.8326
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- - Validation Loss: 0.4626
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- - Validation End Logits Accuracy: 0.8479
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- - Validation Start Logits Accuracy: 0.9021
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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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  | 1.4553 | 0.6376 | 0.6741 | 0.5058 | 0.8428 | 0.8943 | 0 |
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  | 0.7226 | 0.7896 | 0.8326 | 0.4626 | 0.8479 | 0.9021 | 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: 0.5169
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+ - Train End Logits Accuracy: 0.8464
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+ - Train Start Logits Accuracy: 0.8812
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+ - Validation Loss: 0.4572
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+ - Validation End Logits Accuracy: 0.8582
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+ - Validation Start Logits Accuracy: 0.9059
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 1.4553 | 0.6376 | 0.6741 | 0.5058 | 0.8428 | 0.8943 | 0 |
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  | 0.7226 | 0.7896 | 0.8326 | 0.4626 | 0.8479 | 0.9021 | 1 |
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+ | 0.5169 | 0.8464 | 0.8812 | 0.4572 | 0.8582 | 0.9059 | 2 |
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  ### Framework versions
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