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Training in progress epoch 3

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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: 0.0158
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- - Train Sparse Categorical Accuracy: 0.9953
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- - Validation Loss: 0.0161
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- - Validation Sparse Categorical Accuracy: 0.9953
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- - Epoch: 2
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  ## Model description
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@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
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  | 0.0541 | 0.9841 | 0.0250 | 0.9929 | 0 |
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  | 0.0223 | 0.9936 | 0.0186 | 0.9947 | 1 |
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  | 0.0158 | 0.9953 | 0.0161 | 0.9953 | 2 |
 
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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: 0.0126
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+ - Train Sparse Categorical Accuracy: 0.9961
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+ - Validation Loss: 0.0148
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+ - Validation Sparse Categorical Accuracy: 0.9955
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+ - Epoch: 3
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  ## Model description
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  | 0.0541 | 0.9841 | 0.0250 | 0.9929 | 0 |
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  | 0.0223 | 0.9936 | 0.0186 | 0.9947 | 1 |
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  | 0.0158 | 0.9953 | 0.0161 | 0.9953 | 2 |
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+ | 0.0126 | 0.9961 | 0.0148 | 0.9955 | 3 |
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  ### Framework versions
tf_model.h5 CHANGED
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