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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: 0.8473
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- - Train End Logits Accuracy: 0.7841
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- - Train Start Logits Accuracy: 0.8173
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- - Validation Loss: 0.4769
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  - Validation End Logits Accuracy: 0.8647
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- - Validation Start Logits Accuracy: 0.9059
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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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  | 1.4876 | 0.6535 | 0.6831 | 0.5669 | 0.8222 | 0.8698 | 0 |
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  | 0.8473 | 0.7841 | 0.8173 | 0.4769 | 0.8647 | 0.9059 | 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: 0.6202
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+ - Train End Logits Accuracy: 0.8376
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+ - Train Start Logits Accuracy: 0.8661
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+ - Validation Loss: 0.4939
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  - Validation End Logits Accuracy: 0.8647
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+ - Validation Start Logits Accuracy: 0.9046
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 1.4876 | 0.6535 | 0.6831 | 0.5669 | 0.8222 | 0.8698 | 0 |
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  | 0.8473 | 0.7841 | 0.8173 | 0.4769 | 0.8647 | 0.9059 | 1 |
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+ | 0.6202 | 0.8376 | 0.8661 | 0.4939 | 0.8647 | 0.9046 | 2 |
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  ### Framework versions
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