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Training in progress epoch 2

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  1. README.md +9 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,14 +15,14 @@ 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: 0.2021
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- - Train Accuracy: 0.9385
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- - Validation Loss: 0.1769
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- - Validation Accuracy: 0.9385
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- - Train Precision: 0.9405
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- - Train Recall: 0.9385
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- - Train F1: 0.9381
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- - Epoch: 1
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  ## Model description
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@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.6612 | 0.9235 | 0.2473 | 0.9235 | 0.9269 | 0.9235 | 0.9223 | 0 |
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  | 0.2021 | 0.9385 | 0.1769 | 0.9385 | 0.9405 | 0.9385 | 0.9381 | 1 |
 
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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: 0.1456
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+ - Train Accuracy: 0.9435
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+ - Validation Loss: 0.1506
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+ - Validation Accuracy: 0.9435
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+ - Train Precision: 0.9456
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+ - Train Recall: 0.9435
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+ - Train F1: 0.9433
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.6612 | 0.9235 | 0.2473 | 0.9235 | 0.9269 | 0.9235 | 0.9223 | 0 |
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  | 0.2021 | 0.9385 | 0.1769 | 0.9385 | 0.9405 | 0.9385 | 0.9381 | 1 |
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+ | 0.1456 | 0.9435 | 0.1506 | 0.9435 | 0.9456 | 0.9435 | 0.9433 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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