Training in progress epoch 80

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: 1.0372
+- Train Loss: 1.0340
 - Train Accuracy: 0.1137
-- Validation Loss: 0.9995
-- Validation Accuracy: 0.1151
-- Epoch: 79
+- Validation Loss: 1.0059
+- Validation Accuracy: 0.1153
+- Epoch: 80
 
 ## Model description
 
@@ -124,6 +124,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 1.0340     | 0.1137         | 1.0059          | 0.1153              | 80    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d64a8e6c7eecb4b84986c7a286c55c71fac7c738fb364ea21bd6e720d55d71db
+oid sha256:ae2ad8e4bd32be35b54d4ffbe7fb8750789d75f8905c2a33c226b0c67aa3bb53
 size 499741936