Training in progress epoch 79

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: 1.0764
-- Train Accuracy: 0.1127
-- Validation Loss: 1.0366
-- Validation Accuracy: 0.1141
-- Epoch: 78
+- Train Loss: 1.0741
+- Train Accuracy: 0.1128
+- Validation Loss: 1.0308
+- Validation Accuracy: 0.1134
+- Epoch: 79
 
 ## Model description
 
@@ -123,6 +123,7 @@ The following hyperparameters were used during training:
 | 1.0821     | 0.1125         | 1.0229          | 0.1148              | 76    |
 | 1.0791     | 0.1126         | 1.0244          | 0.1148              | 77    |
 | 1.0764     | 0.1127         | 1.0366          | 0.1141              | 78    |
+| 1.0741     | 0.1128         | 1.0308          | 0.1134              | 79    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca73d032b17fb5bff7b1640b8990be592748a7566d8594178f873494589143f5
+oid sha256:8b0e587e4a139739bc67359c60759597ff46173e652d62112eaa3f85a716c70a
 size 499741936