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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: 0.4474
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- - Train End Logits Accuracy: 0.8623
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- - Train Start Logits Accuracy: 0.8979
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  - Validation Loss: 0.4786
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  - Validation End Logits Accuracy: 0.8479
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  - Validation Start Logits Accuracy: 0.9098
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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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  | 0.4434 | 0.8624 | 0.9020 | 0.4786 | 0.8479 | 0.9098 | 0 |
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  | 0.4474 | 0.8623 | 0.8979 | 0.4786 | 0.8479 | 0.9098 | 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: 0.4498
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+ - Train End Logits Accuracy: 0.8587
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+ - Train Start Logits Accuracy: 0.9015
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  - Validation Loss: 0.4786
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  - Validation End Logits Accuracy: 0.8479
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  - Validation Start Logits Accuracy: 0.9098
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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  | 0.4434 | 0.8624 | 0.9020 | 0.4786 | 0.8479 | 0.9098 | 0 |
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  | 0.4474 | 0.8623 | 0.8979 | 0.4786 | 0.8479 | 0.9098 | 1 |
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+ | 0.4498 | 0.8587 | 0.9015 | 0.4786 | 0.8479 | 0.9098 | 2 |
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  ### Framework versions
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