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Training in progress epoch 2

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  1. README.md +6 -5
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NlpHUST/t5-en-vi-small](https://huggingface.co/NlpHUST/t5-en-vi-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.7413
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- - Train Sparse Categorical Accuracy: 0.8077
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- - Validation Loss: 0.7142
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- - Validation Sparse Categorical Accuracy: 0.8151
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- - Epoch: 1
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  ## Model description
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@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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  | 0.8162 | 0.7924 | 0.7433 | 0.8094 | 0 |
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  | 0.7413 | 0.8077 | 0.7142 | 0.8151 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [NlpHUST/t5-en-vi-small](https://huggingface.co/NlpHUST/t5-en-vi-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.7069
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+ - Train Sparse Categorical Accuracy: 0.8147
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+ - Validation Loss: 0.6927
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+ - Validation Sparse Categorical Accuracy: 0.8199
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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  | 0.8162 | 0.7924 | 0.7433 | 0.8094 | 0 |
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  | 0.7413 | 0.8077 | 0.7142 | 0.8151 | 1 |
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+ | 0.7069 | 0.8147 | 0.6927 | 0.8199 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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