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: 1.0422
-- Train Accuracy: 0.1135
-- Validation Loss: 0.9868
-- Validation Accuracy: 0.1153
-- Epoch: 78
+- Train Loss: 1.0372
+- Train Accuracy: 0.1137
+- Validation Loss: 0.9995
+- Validation Accuracy: 0.1151
+- Epoch: 79
 
 ## Model description
 
@@ -123,6 +123,7 @@ The following hyperparameters were used during training:
 | 1.0517     | 0.1133         | 0.9995          | 0.1139              | 76    |
 | 1.0462     | 0.1134         | 0.9839          | 0.1151              | 77    |
 | 1.0422     | 0.1135         | 0.9868          | 0.1153              | 78    |
+| 1.0372     | 0.1137         | 0.9995          | 0.1151              | 79    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84540a9950a8470231f28e48fdcf5c5d9a8927834a1695ea9587549291770593
+oid sha256:d64a8e6c7eecb4b84986c7a286c55c71fac7c738fb364ea21bd6e720d55d71db
 size 499741936