Training in progress epoch 65

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: 1.1162
-- Train Accuracy: 0.1117
-- Validation Loss: 1.0781
-- Validation Accuracy: 0.1127
-- Epoch: 64
+- Train Loss: 1.1114
+- Train Accuracy: 0.1118
+- Validation Loss: 1.0474
+- Validation Accuracy: 0.1138
+- Epoch: 65
 
 ## Model description
 
@@ -109,6 +109,7 @@ The following hyperparameters were used during training:
 | 1.1309     | 0.1113         | 1.0762          | 0.1119              | 62    |
 | 1.1234     | 0.1115         | 1.0625          | 0.1137              | 63    |
 | 1.1162     | 0.1117         | 1.0781          | 0.1127              | 64    |
+| 1.1114     | 0.1118         | 1.0474          | 0.1138              | 65    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7df3ed2c474b4773baba1889bb82e7db283da54ee99012572d4c9093babf5091
+oid sha256:40312d87786a8860f34063258e584c629e47bfc4e3c6dedb701226ade981a251
 size 499741936