Training in progress epoch 6

README.md

@@ -14,10 +14,10 @@ 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: 0.2355
-- Validation Loss: 2.4630
-- Train Accuracy: 0.3049
-- Epoch: 5
+- Train Loss: 0.1029
+- Validation Loss: 3.2950
+- Train Accuracy: 0.2805
+- Epoch: 6
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.0716     | 1.3617          | 0.3232         | 3     |
 | 0.5850     | 2.1415          | 0.2866         | 4     |
 | 0.2355     | 2.4630          | 0.3049         | 5     |
+| 0.1029     | 3.2950          | 0.2805         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81d7615f93324880439453c6bb643d2e5ba222f9d6f72c677438da4beb50cb0f
+oid sha256:cefe16f3e03a8a9cad369debb331e6feb00562cff781c28a3e0f2c2d83b7121f
 size 438203668