Training in progress epoch 45

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.3288
-- Train Accuracy: 0.1067
-- Validation Loss: 1.2598
-- Validation Accuracy: 0.1082
-- Epoch: 44
+- Train Loss: 1.3111
+- Train Accuracy: 0.1071
+- Validation Loss: 1.2334
+- Validation Accuracy: 0.1096
+- Epoch: 45
 
 ## Model description
 
@@ -89,6 +89,7 @@ The following hyperparameters were used during training:
 | 1.3658     | 0.1058         | 1.2832          | 0.1083              | 42    |
 | 1.3469     | 0.1063         | 1.2637          | 0.1081              | 43    |
 | 1.3288     | 0.1067         | 1.2598          | 0.1082              | 44    |
+| 1.3111     | 0.1071         | 1.2334          | 0.1096              | 45    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd227f5149a9e661d7a2e04fbce81a9b90a070083d3eba414b8cde3e600233ae
+oid sha256:7d0a2dd90aaed65d899fdfb832a765358ef43f50f9ce1378bcb0b7ad3ed15842
 size 499741936