Training in progress epoch 6

README.md

@@ -15,13 +15,13 @@ 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: 0.0133
-- Validation Loss: 0.1281
-- Train Precision: 0.8514
-- Train Recall: 0.8701
-- Train F1: 0.8606
-- Train Accuracy: 0.9712
-- Epoch: 5
+- Train Loss: 0.0083
+- Validation Loss: 0.1469
+- Train Precision: 0.8293
+- Train Recall: 0.8889
+- Train F1: 0.8581
+- Train Accuracy: 0.9691
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.0270     | 0.1078          | 0.8459          | 0.8633       | 0.8545   | 0.9697         | 3     |
 | 0.0179     | 0.1165          | 0.8556          | 0.8646       | 0.8601   | 0.9708         | 4     |
 | 0.0133     | 0.1281          | 0.8514          | 0.8701       | 0.8606   | 0.9712         | 5     |
+| 0.0083     | 0.1469          | 0.8293          | 0.8889       | 0.8581   | 0.9691         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 435849172