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Training in progress epoch 10

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,11 +15,11 @@ 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: 0.2068
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- - Train Accuracy: 0.9609
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- - Validation Loss: 0.7936
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  - Validation Accuracy: 0.8182
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- - Epoch: 9
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  ## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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  | 0.4495 | 0.8947 | 0.9108 | 0.7879 | 7 |
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  | 0.2991 | 0.9414 | 0.8437 | 0.8182 | 8 |
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  | 0.2068 | 0.9609 | 0.7936 | 0.8182 | 9 |
 
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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: 0.1594
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+ - Train Accuracy: 0.9729
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+ - Validation Loss: 0.8264
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  - Validation Accuracy: 0.8182
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+ - Epoch: 10
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  ## Model description
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  | 0.4495 | 0.8947 | 0.9108 | 0.7879 | 7 |
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  | 0.2991 | 0.9414 | 0.8437 | 0.8182 | 8 |
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  | 0.2068 | 0.9609 | 0.7936 | 0.8182 | 9 |
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+ | 0.1594 | 0.9729 | 0.8264 | 0.8182 | 10 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 711818664
 
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