Training in progress epoch 4

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: 0.0960
-- Train Accuracy: 0.9694
-- Validation Loss: 0.4772
-- Validation Accuracy: 0.8626
-- Epoch: 3
+- Train Loss: 0.0529
+- Train Accuracy: 0.9836
+- Validation Loss: 0.5169
+- Validation Accuracy: 0.8646
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.3041     | 0.8887         | 0.3962          | 0.8404              | 1     |
 | 0.1947     | 0.9344         | 0.3971          | 0.8444              | 2     |
 | 0.0960     | 0.9694         | 0.4772          | 0.8626              | 3     |
+| 0.0529     | 0.9836         | 0.5169          | 0.8646              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7afe4760be3f8a780b50b9a293524f2de89d099cfd0e37be940a71fa09f414b1
+oid sha256:cac6d53edca064356ec59a02f851e8194200de8a8f91b06ce565700667a1e35f
 size 438226204