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: 1.2715
-- Train End Logits Accuracy: 0.6741
-- Train Start Logits Accuracy: 0.6457
-- Validation Loss: 0.8508
-- Validation End Logits Accuracy: 0.7708
-- Validation Start Logits Accuracy: 0.7643
-- Epoch: 8
+- Train Loss: 1.2106
+- Train End Logits Accuracy: 0.6868
+- Train Start Logits Accuracy: 0.6616
+- Validation Loss: 0.8171
+- Validation End Logits Accuracy: 0.7790
+- Validation Start Logits Accuracy: 0.7721
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 1.4627     | 0.6330                    | 0.6039                      | 1.0051          | 0.7336                         | 0.7269                           | 6     |
 | 1.3557     | 0.6545                    | 0.6285                      | 0.9167          | 0.7577                         | 0.7491                           | 7     |
 | 1.2715     | 0.6741                    | 0.6457                      | 0.8508          | 0.7708                         | 0.7643                           | 8     |
+| 1.2106     | 0.6868                    | 0.6616                      | 0.8171          | 0.7790                         | 0.7721                           | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e4eeaca556357f0fe434a6e5a0c3c1b7d1dd3857ada5d73231149a28618f75ba
 size 54221088