Training in progress epoch 414

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: 0.7256
-- Train Accuracy: 0.1215
-- Validation Loss: 0.8066
-- Validation Accuracy: 0.1200
-- Epoch: 413
+- Train Loss: 0.7246
+- Train Accuracy: 0.1216
+- Validation Loss: 0.7749
+- Validation Accuracy: 0.1213
+- Epoch: 414
 
 ## Model description
 
@@ -458,6 +458,7 @@ The following hyperparameters were used during training:
 | 0.7253     | 0.1216         | 0.7920          | 0.1198              | 411   |
 | 0.7258     | 0.1216         | 0.7979          | 0.1211              | 412   |
 | 0.7256     | 0.1215         | 0.8066          | 0.1200              | 413   |
+| 0.7246     | 0.1216         | 0.7749          | 0.1213              | 414   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:456b83a73832486f5eea8f58aa95707428c5db254ffd34d5d0fcb515718908d2
+oid sha256:ef302f970f43f3096e232de7e3357c0538dc87505d2dd71f22a6e9b87b53b046
 size 499741936