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End of training

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  1. README.md +10 -5
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/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: 0.9481
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- - Train Sparse Categorical Accuracy: 0.5960
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- - Train Sparse Top 3 Categorical Accuracy: 0.9512
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- - Epoch: 0
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  ## Model description
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  | Train Loss | Train Sparse Categorical Accuracy | Train Sparse Top 3 Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------------------------------:|:-----:|
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- | 0.9481 | 0.5960 | 0.9512 | 0 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/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: 0.6016
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+ - Train Sparse Categorical Accuracy: 0.7503
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+ - Train Sparse Top 3 Categorical Accuracy: 0.9901
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+ - Epoch: 5
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  ## Model description
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  | Train Loss | Train Sparse Categorical Accuracy | Train Sparse Top 3 Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------------------------------:|:-----:|
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+ | 0.9433 | 0.5975 | 0.9523 | 0 |
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+ | 0.8257 | 0.6498 | 0.9704 | 1 |
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+ | 0.7625 | 0.6765 | 0.9778 | 2 |
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+ | 0.7062 | 0.7014 | 0.9832 | 3 |
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+ | 0.6526 | 0.7263 | 0.9872 | 4 |
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+ | 0.6016 | 0.7503 | 0.9901 | 5 |
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  ### Framework versions
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