Training in progress epoch 162

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: 0.8649
-- Train Accuracy: 0.1180
-- Validation Loss: 0.8535
-- Validation Accuracy: 0.1188
-- Epoch: 161
+- Train Loss: 0.8633
+- Train Accuracy: 0.1181
+- Validation Loss: 0.8555
+- Validation Accuracy: 0.1185
+- Epoch: 162
 
 ## Model description
 
@@ -206,6 +206,7 @@ The following hyperparameters were used during training:
 | 0.8670     | 0.1179         | 0.8462          | 0.1192              | 159   |
 | 0.8656     | 0.1180         | 0.8594          | 0.1188              | 160   |
 | 0.8649     | 0.1180         | 0.8535          | 0.1188              | 161   |
+| 0.8633     | 0.1181         | 0.8555          | 0.1185              | 162   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d70a01cfce13091ccd7b52de5a7b09c4e62d517d4f58306a39d38d9a761e7c46
+oid sha256:4dad5ac6e5602c640a10ece3a9e9145e25e726fb967ce9bab4f0d7f28fb6b5fc
 size 499741936