Training in progress epoch 426

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: 0.7220
-- Train Accuracy: 0.1217
-- Validation Loss: 0.7720
-- Validation Accuracy: 0.1211
-- Epoch: 425
+- Train Loss: 0.7218
+- Train Accuracy: 0.1216
+- Validation Loss: 0.7979
+- Validation Accuracy: 0.1207
+- Epoch: 426
 
 ## Model description
 
@@ -470,6 +470,7 @@ The following hyperparameters were used during training:
 | 0.7226     | 0.1216         | 0.7925          | 0.1203              | 423   |
 | 0.7222     | 0.1217         | 0.7910          | 0.1204              | 424   |
 | 0.7220     | 0.1217         | 0.7720          | 0.1211              | 425   |
+| 0.7218     | 0.1216         | 0.7979          | 0.1207              | 426   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c87382c8300ccce8459601f413f3b6e7600503aa6ab1d4692780de3d8e18c907
+oid sha256:b0d714ff562ed434bb1ffe3f5def24d2c8a70683f7d47e006b5e54151716e432
 size 499741936