Training in progress epoch 323

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: 0.7565
-- Train Accuracy: 0.1207
-- Validation Loss: 0.8018
-- Validation Accuracy: 0.1192
-- Epoch: 322
+- Train Loss: 0.7556
+- Train Accuracy: 0.1208
+- Validation Loss: 0.7949
+- Validation Accuracy: 0.1207
+- Epoch: 323
 
 ## Model description
 
@@ -367,6 +367,7 @@ The following hyperparameters were used during training:
 | 0.7579     | 0.1208         | 0.8174          | 0.1202              | 320   |
 | 0.7572     | 0.1207         | 0.8232          | 0.1196              | 321   |
 | 0.7565     | 0.1207         | 0.8018          | 0.1192              | 322   |
+| 0.7556     | 0.1208         | 0.7949          | 0.1207              | 323   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42fd7b87f7e2272311f649a67515c285262972e1d34b69315051ca18f82c06be
+oid sha256:b6a8517027f228deae65a8c80106e7dd6c8efdb796aee5a1d43f11a28ab58318
 size 499741936