Training in progress epoch 4

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1788
-- Validation Loss: 0.2106
-- Train Accuracy: 0.9142
-- Epoch: 3
+- Train Loss: 0.1502
+- Validation Loss: 0.2003
+- Train Accuracy: 0.9261
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.2723     | 0.2483          | 0.8951         | 1     |
 | 0.2143     | 0.2118          | 0.9149         | 2     |
 | 0.1788     | 0.2106          | 0.9142         | 3     |
+| 0.1502     | 0.2003          | 0.9261         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:06820b8393bf721f05417d67ec210c47e5db7515709cb5687be6f088912b4a5b
+oid sha256:33506a76e0142a5bb6e583515e7514366b785209a6e9797314ffbb9f04fd2dd3
 size 1341127728