Training in progress epoch 81

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: 1.0340
-- Train Accuracy: 0.1137
-- Validation Loss: 1.0059
-- Validation Accuracy: 0.1153
-- Epoch: 80
+- Train Loss: 1.0296
+- Train Accuracy: 0.1138
+- Validation Loss: 0.9961
+- Validation Accuracy: 0.1152
+- Epoch: 81
 
 ## Model description
 
@@ -125,6 +125,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 1.0296     | 0.1138         | 0.9961          | 0.1152              | 81    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae2ad8e4bd32be35b54d4ffbe7fb8750789d75f8905c2a33c226b0c67aa3bb53
+oid sha256:c8cc841a9f0038866ec99f2ccad16d8a0d19326bf3e3d5f2878cb0b6cd2bc9fa
 size 499741936