Training in progress epoch 93

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: 0.9921
-- Train Accuracy: 0.1148
-- Validation Loss: 0.9360
-- Validation Accuracy: 0.1166
-- Epoch: 92
+- Train Loss: 0.9884
+- Train Accuracy: 0.1149
+- Validation Loss: 0.9546
+- Validation Accuracy: 0.1156
+- Epoch: 93
 
 ## Model description
 
@@ -137,6 +137,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.9884     | 0.1149         | 0.9546          | 0.1156              | 93    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f0d60ec4d9b0fae6359e3d5e55da8d1f80367fcd51f643f9ec2183b1e46e6b2
+oid sha256:b5c023e217d37692c11041dbb3aed88cddadedc17c9d637a94c3c542cf505dbb
 size 499741936