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Training in progress epoch 5

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  1. README.md +7 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.0404
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- - Validation Loss: 1.0023
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- - Train Accuracy: 0.6667
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- - Epoch: 2
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  ## Model description
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@@ -47,6 +47,9 @@ The following hyperparameters were used during training:
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  | 1.3476 | 1.1517 | 0.6667 | 0 |
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  | 1.1645 | 1.1034 | 0.6667 | 1 |
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  | 1.0404 | 1.0023 | 0.6667 | 2 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.7429
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+ - Validation Loss: 0.9212
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+ - Train Accuracy: 0.7378
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+ - Epoch: 5
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  ## Model description
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  | 1.3476 | 1.1517 | 0.6667 | 0 |
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  | 1.1645 | 1.1034 | 0.6667 | 1 |
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  | 1.0404 | 1.0023 | 0.6667 | 2 |
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+ | 0.9653 | 0.9618 | 0.6756 | 3 |
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+ | 0.8518 | 0.9611 | 0.7111 | 4 |
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+ | 0.7429 | 0.9212 | 0.7378 | 5 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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