Training in progress epoch 43

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: 8.5625
-- Train Accuracy: 0.0228
-- Validation Loss: 8.5272
-- Validation Accuracy: 0.0220
-- Epoch: 41
+- Train Loss: 8.5124
+- Train Accuracy: 0.0230
+- Validation Loss: 8.4787
+- Validation Accuracy: 0.0222
+- Epoch: 43
 
 ## Model description
 
@@ -86,6 +86,8 @@ The following hyperparameters were used during training:
 | 8.5802     | 0.0233         | 8.5722          | 0.0219              | 39    |
 | 8.5825     | 0.0228         | 8.5548          | 0.0220              | 40    |
 | 8.5625     | 0.0228         | 8.5272          | 0.0220              | 41    |
+| 8.5415     | 0.0228         | 8.5200          | 0.0222              | 42    |
+| 8.5124     | 0.0230         | 8.4787          | 0.0222              | 43    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c1445c65bc97d4b0ef12b3ac53f3455344a805f154d04cb5537e62ebdab4ee1e
+oid sha256:e4d11ec1639ff3bc418f17421bc77551d05481d33cd9a1c3d76dfd66e6b04395
 size 499741936