Training in progress epoch 10

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0170
-- Train Accuracy: 0.9904
-- Validation Loss: 0.6235
+- Train Loss: 0.0159
+- Train Accuracy: 0.9913
+- Validation Loss: 0.6619
 - Validation Accuracy: 0.8797
-- Epoch: 9
+- Epoch: 10
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0195     | 0.9906         | 0.6241          | 0.8797              | 7     |
 | 0.0184     | 0.9911         | 0.6244          | 0.8797              | 8     |
 | 0.0170     | 0.9904         | 0.6235          | 0.8797              | 9     |
+| 0.0159     | 0.9913         | 0.6619          | 0.8797              | 10    |
 
 
 ### Framework versions

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tf_model.h5

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