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: 0.9249
-- Train End Logits Accuracy: 0.7495
-- Train Start Logits Accuracy: 0.7272
-- Validation Loss: 0.4426
-- Validation End Logits Accuracy: 0.8770
-- Validation Start Logits Accuracy: 0.8763
-- Epoch: 8
+- Train Loss: 0.8085
+- Train End Logits Accuracy: 0.7777
+- Train Start Logits Accuracy: 0.7585
+- Validation Loss: 0.3695
+- Validation End Logits Accuracy: 0.8919
+- Validation Start Logits Accuracy: 0.8908
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 1.2118     | 0.6880                    | 0.6604                      | 0.6918          | 0.8105                         | 0.8116                           | 6     |
 | 1.0610     | 0.7222                    | 0.6963                      | 0.5471          | 0.8490                         | 0.8476                           | 7     |
 | 0.9249     | 0.7495                    | 0.7272                      | 0.4426          | 0.8770                         | 0.8763                           | 8     |
+| 0.8085     | 0.7777                    | 0.7585                      | 0.3695          | 0.8919                         | 0.8908                           | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fbfb822404987c4aebe467fc90e561c49e40a8d9a5e14d8f4065fc80cfc5978f
 size 54221088