Training in progress epoch 303

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: 0.7657
-- Train Accuracy: 0.1205
-- Validation Loss: 0.8140
-- Validation Accuracy: 0.1202
-- Epoch: 302
+- Train Loss: 0.7644
+- Train Accuracy: 0.1206
+- Validation Loss: 0.8228
+- Validation Accuracy: 0.1199
+- Epoch: 303
 
 ## Model description
 
@@ -347,6 +347,7 @@ The following hyperparameters were used during training:
 | 0.7661     | 0.1205         | 0.8115          | 0.1191              | 300   |
 | 0.7654     | 0.1205         | 0.8188          | 0.1206              | 301   |
 | 0.7657     | 0.1205         | 0.8140          | 0.1202              | 302   |
+| 0.7644     | 0.1206         | 0.8228          | 0.1199              | 303   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2f5b79f68dc75e38440e673a8607a0cf6bbab037ace7ee2b26a75349a99b996
+oid sha256:cb579766547063cf756e4f44a7c86c9873a3fac18e7b7f71a3502c0b3e8c87a1
 size 499741936