Training in progress epoch 8

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1518
-- Train End Logits Accuracy: 0.6980
-- Train Start Logits Accuracy: 0.6741
-- Validation Loss: 0.6412
-- Validation End Logits Accuracy: 0.8260
-- Validation Start Logits Accuracy: 0.8197
-- Epoch: 7
+- Train Loss: 1.0351
+- Train End Logits Accuracy: 0.7240
+- Train Start Logits Accuracy: 0.7025
+- Validation Loss: 0.5316
+- Validation End Logits Accuracy: 0.8518
+- Validation Start Logits Accuracy: 0.8531
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 1.4482     | 0.6341                    | 0.6066                      | 0.8998          | 0.7637                         | 0.7547                           | 5     |
 | 1.2931     | 0.6694                    | 0.6423                      | 0.7622          | 0.7920                         | 0.7916                           | 6     |
 | 1.1518     | 0.6980                    | 0.6741                      | 0.6412          | 0.8260                         | 0.8197                           | 7     |
+| 1.0351     | 0.7240                    | 0.7025                      | 0.5316          | 0.8518                         | 0.8531                           | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d7c8d7865d5dcc4a5562ccb15511cbb8e8d2e333a1b93cdfdfce438cc9529deb
+oid sha256:da881211563a5f2f34a4e9275696d6c7145264b580376975d0eabf56ac7af68e
 size 54221088