Training in progress epoch 92

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: 0.9947
-- Train Accuracy: 0.1147
-- Validation Loss: 0.9570
-- Validation Accuracy: 0.1157
-- Epoch: 91
+- Train Loss: 0.9921
+- Train Accuracy: 0.1148
+- Validation Loss: 0.9360
+- Validation Accuracy: 0.1166
+- Epoch: 92
 
 ## Model description
 
@@ -136,6 +136,7 @@ The following hyperparameters were used during training:
 | 1.0017     | 0.1145         | 0.9575          | 0.1151              | 89    |
 | 0.9973     | 0.1146         | 0.9624          | 0.1149              | 90    |
 | 0.9947     | 0.1147         | 0.9570          | 0.1157              | 91    |
+| 0.9921     | 0.1148         | 0.9360          | 0.1166              | 92    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:164c5de561c7846e51dcffd55bc73644ce7f796955117cf03d49c35e0385515e
+oid sha256:1f0d60ec4d9b0fae6359e3d5e55da8d1f80367fcd51f643f9ec2183b1e46e6b2
 size 499741936