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: 0.1544
-- Train Accuracy: 0.9966
-- Validation Loss: 2.4575
-- Validation Accuracy: 0.5641
-- Epoch: 9
+- Train Loss: 0.1210
+- Train Accuracy: 0.9993
+- Validation Loss: 2.4725
+- Validation Accuracy: 0.5385
+- Epoch: 10
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.2738     | 0.9841         | 2.3969          | 0.5641              | 7     |
 | 0.2040     | 0.9929         | 2.4391          | 0.5641              | 8     |
 | 0.1544     | 0.9966         | 2.4575          | 0.5641              | 9     |
+| 0.1210     | 0.9993         | 2.4725          | 0.5385              | 10    |
 
 
 ### Framework versions

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tf_model.h5

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