Training in progress epoch 86

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: 1.0146
-- Train Accuracy: 0.1142
-- Validation Loss: 0.9678
-- Validation Accuracy: 0.1164
-- Epoch: 85
+- Train Loss: 1.0111
+- Train Accuracy: 0.1143
+- Validation Loss: 0.9839
+- Validation Accuracy: 0.1161
+- Epoch: 86
 
 ## Model description
 
@@ -130,6 +130,7 @@ The following hyperparameters were used during training:
 | 1.0211     | 0.1140         | 0.9575          | 0.1150              | 83    |
 | 1.0182     | 0.1141         | 0.9868          | 0.1150              | 84    |
 | 1.0146     | 0.1142         | 0.9678          | 0.1164              | 85    |
+| 1.0111     | 0.1143         | 0.9839          | 0.1161              | 86    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf1ddf129e541f33952e19bc898eba582a02c43f214f58493507e620e5438c45
+oid sha256:c1e497b16e721d84293a6fde327773c97e4b34ce4eb6ec1aa6fffaca584fdcb4
 size 499741936