Training in progress epoch 160

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: 0.8670
-- Train Accuracy: 0.1179
-- Validation Loss: 0.8462
-- Validation Accuracy: 0.1192
-- Epoch: 159
+- Train Loss: 0.8656
+- Train Accuracy: 0.1180
+- Validation Loss: 0.8594
+- Validation Accuracy: 0.1188
+- Epoch: 160
 
 ## Model description
 
@@ -204,6 +204,7 @@ The following hyperparameters were used during training:
 | 0.8695     | 0.1178         | 0.8652          | 0.1190              | 157   |
 | 0.8675     | 0.1179         | 0.8804          | 0.1197              | 158   |
 | 0.8670     | 0.1179         | 0.8462          | 0.1192              | 159   |
+| 0.8656     | 0.1180         | 0.8594          | 0.1188              | 160   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c16c9d9a5a4f9943181dd52afca75da72b4c5aa1d04cd0efef99041658816c7
+oid sha256:06d4c86aa91d5231e9a7bbae0f5c59f2b40cac5091f6206ba0044e7d540f8fe5
 size 499741936