Training in progress epoch 360

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: 0.7419
-- Train Accuracy: 0.1211
-- Validation Loss: 0.8003
-- Validation Accuracy: 0.1199
-- Epoch: 359
+- Train Loss: 0.7421
+- Train Accuracy: 0.1212
+- Validation Loss: 0.8081
+- Validation Accuracy: 0.1200
+- Epoch: 360
 
 ## Model description
 
@@ -404,6 +404,7 @@ The following hyperparameters were used during training:
 | 0.7437     | 0.1211         | 0.8130          | 0.1204              | 357   |
 | 0.7426     | 0.1211         | 0.8013          | 0.1205              | 358   |
 | 0.7419     | 0.1211         | 0.8003          | 0.1199              | 359   |
+| 0.7421     | 0.1212         | 0.8081          | 0.1200              | 360   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6e9fec6a1940410deda03f940c4bfe61d8188fa481df8008db5a5ab5fd57c97
+oid sha256:441cb76ad7bda986e50f1bd3a94c69d3b1a9b44d285759b25813dd992e74e30c
 size 499741936