Training in progress epoch 169

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: 0.8573
-- Train Accuracy: 0.1181
-- Validation Loss: 0.8691
-- Validation Accuracy: 0.1181
-- Epoch: 168
+- Train Loss: 0.8558
+- Train Accuracy: 0.1182
+- Validation Loss: 0.8481
+- Validation Accuracy: 0.1176
+- Epoch: 169
 
 ## Model description
 
@@ -213,6 +213,7 @@ The following hyperparameters were used during training:
 | 0.8591     | 0.1181         | 0.8862          | 0.1176              | 166   |
 | 0.8580     | 0.1181         | 0.8853          | 0.1177              | 167   |
 | 0.8573     | 0.1181         | 0.8691          | 0.1181              | 168   |
+| 0.8558     | 0.1182         | 0.8481          | 0.1176              | 169   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41cbbc23559d2b67e52593d8a1565053e0aa60d82306a0c762196b18ddc37d16
+oid sha256:5b691c15a6d195aac8f24c885921de3c85c2476a05dfb05b1176c1edd3d6587a
 size 499741936