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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 [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0138
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- - Train Sparse Categorical Accuracy: 0.9969
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- - Validation Loss: 0.0125
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- - Validation Sparse Categorical Accuracy: 0.9972
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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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  | 0.0276 | 0.9932 | 0.0156 | 0.9968 | 0 |
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  | 0.0138 | 0.9969 | 0.0125 | 0.9972 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0117
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+ - Train Sparse Categorical Accuracy: 0.9974
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+ - Validation Loss: 0.0126
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+ - Validation Sparse Categorical Accuracy: 0.9974
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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  | 0.0276 | 0.9932 | 0.0156 | 0.9968 | 0 |
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  | 0.0138 | 0.9969 | 0.0125 | 0.9972 | 1 |
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+ | 0.0117 | 0.9974 | 0.0126 | 0.9974 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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