Training in progress epoch 9

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: 1.1450
-- Train End Logits Accuracy: 0.7023
-- Train Start Logits Accuracy: 0.6765
-- Validation Loss: 0.6373
-- Validation End Logits Accuracy: 0.8275
-- Validation Start Logits Accuracy: 0.8215
-- Epoch: 8
+- Train Loss: 0.9748
+- Train End Logits Accuracy: 0.7441
+- Train Start Logits Accuracy: 0.7181
+- Validation Loss: 0.5570
+- Validation End Logits Accuracy: 0.8476
+- Validation Start Logits Accuracy: 0.8405
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 1.6012 | 0.6060 | 0.5760 | 1.0431 | 0.7322 | 0.7264 | 6 |
 | 1.3677 | 0.6561 | 0.6257 | 0.8193 | 0.7857 | 0.7770 | 7 |
 | 1.1450 | 0.7023 | 0.6765 | 0.6373 | 0.8275 | 0.8215 | 8 |
+| 0.9748 | 0.7441 | 0.7181 | 0.5570 | 0.8476 | 0.8405 | 9 |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ccae7d363b4518d7b35f0c133c5775085c0fa726bb5e488a5d0d079bf3a9ed44
+oid sha256:3e0323abeb80f9ad818fc0e1377d82c58acededa6ba89b91a0f5a42ed97d84c8
 size 54221088