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Training in progress epoch 0

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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: 0.5179
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- - Train End Logits Accuracy: 0.8477
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- - Train Start Logits Accuracy: 0.8856
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  - Validation Loss: 0.4616
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  - Validation End Logits Accuracy: 0.8570
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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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@@ -47,9 +47,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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- | 1.4743 | 0.6319 | 0.6682 | 0.5295 | 0.8351 | 0.8982 | 0 |
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- | 0.7342 | 0.7911 | 0.8366 | 0.4560 | 0.8492 | 0.9021 | 1 |
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- | 0.5179 | 0.8477 | 0.8856 | 0.4616 | 0.8570 | 0.9072 | 2 |
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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: 0.4434
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+ - Train End Logits Accuracy: 0.8660
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+ - Train Start Logits Accuracy: 0.9037
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  - Validation Loss: 0.4616
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  - Validation End Logits Accuracy: 0.8570
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  - Validation Start Logits Accuracy: 0.9072
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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+ | 0.4434 | 0.8660 | 0.9037 | 0.4616 | 0.8570 | 0.9072 | 0 |
 
 
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  ### Framework versions
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