Training in progress epoch 13

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: 0.6869
-- Train End Logits Accuracy: 0.8056
-- Train Start Logits Accuracy: 0.7848
-- Validation Loss: 0.2983
-- Validation End Logits Accuracy: 0.9134
-- Validation Start Logits Accuracy: 0.9118
-- Epoch: 12
+- Train Loss: 0.6320
+- Train End Logits Accuracy: 0.8209
+- Train Start Logits Accuracy: 0.7994
+- Validation Loss: 0.2667
+- Validation End Logits Accuracy: 0.9223
+- Validation Start Logits Accuracy: 0.9205
+- Epoch: 13
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.8354     | 0.7714                    | 0.7489                      | 0.3836          | 0.8910                         | 0.8896                           | 10    |
 | 0.7520     | 0.7904                    | 0.7699                      | 0.3342          | 0.9048                         | 0.9021                           | 11    |
 | 0.6869     | 0.8056                    | 0.7848                      | 0.2983          | 0.9134                         | 0.9118                           | 12    |
+| 0.6320     | 0.8209                    | 0.7994                      | 0.2667          | 0.9223                         | 0.9205                           | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a13129ff9961b187886742a339690303de3f3434ecd2f5a238e83657a4d47740
+oid sha256:8a2e5dbe4bde09db5071a10dbc65f3ec2c6461e783e05cd610c26cd5eaecc587
 size 54221088