Training in progress epoch 3

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: 0.0782
-- Train Accuracy: 0.9885
-- Validation Loss: 0.5895
-- Validation Accuracy: 0.8609
-- Epoch: 2
+- Train Loss: 0.0418
+- Train Accuracy: 0.9913
+- Validation Loss: 0.5456
+- Validation Accuracy: 0.8797
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 1.3910     | 0.5974         | 0.8022          | 0.8008              | 0     |
 | 0.2739     | 0.9554         | 0.6211          | 0.8609              | 1     |
 | 0.0782     | 0.9885         | 0.5895          | 0.8609              | 2     |
+| 0.0418     | 0.9913         | 0.5456          | 0.8797              | 3     |
 
 
 ### Framework versions

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tf_model.h5

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