Training in progress epoch 81

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: 8.0276
-- Train Accuracy: 0.0229
-- Validation Loss: 8.0099
-- Validation Accuracy: 0.0221
-- Epoch: 79
+- Train Loss: 7.9798
+- Train Accuracy: 0.0237
+- Validation Loss: 7.9742
+- Validation Accuracy: 0.0224
+- Epoch: 81
 
 ## Model description
 
@@ -124,6 +124,8 @@ The following hyperparameters were used during training:
 | 8.0307     | 0.0235         | 8.0278          | 0.0222              | 77    |
 | 8.0626     | 0.0226         | 8.0084          | 0.0224              | 78    |
 | 8.0276     | 0.0229         | 8.0099          | 0.0221              | 79    |
+| 8.0213     | 0.0231         | 7.9930          | 0.0222              | 80    |
+| 7.9798     | 0.0237         | 7.9742          | 0.0224              | 81    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc22b4de34da0fb612b6114114ef605ec9da3cc2225b362dcf62773452bb4d5f
+oid sha256:3291a1b14fc314a65527cfa649cde762285fe90616df894d76b74b0882c7bc30
 size 499741936