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Training in progress epoch 7

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1189
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- - Validation Loss: 0.5284
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- - Train Precision: 0.7088
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- - Train Recall: 0.6911
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- - Train F1: 0.6920
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- - Train Accuracy: 0.8712
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- - Epoch: 6
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  ## Model description
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@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
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  | 0.1901 | 0.4922 | 0.7137 | 0.6880 | 0.6937 | 0.8639 | 4 |
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  | 0.1566 | 0.5050 | 0.7220 | 0.6838 | 0.6953 | 0.8703 | 5 |
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  | 0.1189 | 0.5284 | 0.7088 | 0.6911 | 0.6920 | 0.8712 | 6 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1059
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+ - Validation Loss: 0.5285
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+ - Train Precision: 0.7113
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+ - Train Recall: 0.6835
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+ - Train F1: 0.6900
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+ - Train Accuracy: 0.8635
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+ - Epoch: 7
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  ## Model description
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  | 0.1901 | 0.4922 | 0.7137 | 0.6880 | 0.6937 | 0.8639 | 4 |
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  | 0.1566 | 0.5050 | 0.7220 | 0.6838 | 0.6953 | 0.8703 | 5 |
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  | 0.1189 | 0.5284 | 0.7088 | 0.6911 | 0.6920 | 0.8712 | 6 |
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+ | 0.1059 | 0.5285 | 0.7113 | 0.6835 | 0.6900 | 0.8635 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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