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Training in progress epoch 0

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  1. README.md +6 -10
  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: 0.9044
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- - Validation Loss: 0.9594
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- - Train Accuracy: 0.6933
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- - Epoch: 4
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 1.3581 | 1.1546 | 0.6667 | 0 |
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- | 1.1648 | 1.1125 | 0.6667 | 1 |
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- | 1.0692 | 1.0542 | 0.6667 | 2 |
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- | 0.9992 | 1.0228 | 0.6667 | 3 |
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- | 0.9044 | 0.9594 | 0.6933 | 4 |
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  ### Framework versions
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  - Transformers 4.34.0
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  - TensorFlow 2.13.0
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  - Datasets 2.14.5
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- - Tokenizers 0.14.0
 
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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: 1.3394
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+ - Validation Loss: 1.1667
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+ - Train Accuracy: 0.6667
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.3394 | 1.1667 | 0.6667 | 0 |
 
 
 
 
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  ### Framework versions
 
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  - Transformers 4.34.0
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  - TensorFlow 2.13.0
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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