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Training in progress epoch 4

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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: 1.0888
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- - Train Sparse Categorical Accuracy: 0.6400
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- - Validation Loss: 1.1253
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- - Validation Sparse Categorical Accuracy: 0.6323
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- - Epoch: 3
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  ## Model description
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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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  | 1.1546 | 0.6193 | 1.1376 | 0.6259 | 1 |
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  | 1.1163 | 0.6314 | 1.1247 | 0.6292 | 2 |
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  | 1.0888 | 0.6400 | 1.1253 | 0.6323 | 3 |
 
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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: 1.0662
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+ - Train Sparse Categorical Accuracy: 0.6473
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+ - Validation Loss: 1.1182
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+ - Validation Sparse Categorical Accuracy: 0.6344
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+ - Epoch: 4
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  ## Model description
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  | 1.1546 | 0.6193 | 1.1376 | 0.6259 | 1 |
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  | 1.1163 | 0.6314 | 1.1247 | 0.6292 | 2 |
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  | 1.0888 | 0.6400 | 1.1253 | 0.6323 | 3 |
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+ | 1.0662 | 0.6473 | 1.1182 | 0.6344 | 4 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 51159352
 
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