Training in progress epoch 6

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: 2.6457
-- Train End Logits Accuracy: 0.3903
-- Train Start Logits Accuracy: 0.3564
-- Validation Loss: 2.4704
-- Validation End Logits Accuracy: 0.4212
-- Validation Start Logits Accuracy: 0.3956
-- Epoch: 5
+- Train Loss: 2.5985
+- Train End Logits Accuracy: 0.3968
+- Train Start Logits Accuracy: 0.3628
+- Validation Loss: 2.4328
+- Validation End Logits Accuracy: 0.4286
+- Validation Start Logits Accuracy: 0.4026
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 2.7889     | 0.3674                    | 0.3275                      | 2.6031          | 0.3970                         | 0.3685                           | 3     |
 | 2.7039     | 0.3811                    | 0.3432                      | 2.5304          | 0.4095                         | 0.3853                           | 4     |
 | 2.6457     | 0.3903                    | 0.3564                      | 2.4704          | 0.4212                         | 0.3956                           | 5     |
+| 2.5985     | 0.3968                    | 0.3628                      | 2.4328          | 0.4286                         | 0.4026                           | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ac0bee24e9eb60c6de30faabd09525d938606eb513a5f1d427b1a5b7c3efd88
+oid sha256:55afb6cb668c010cb892c6df5f21d0bce8c8d5eb20e894bc63e839a9195bfe02
 size 54221088