Training in progress epoch 78

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: 1.0462
-- Train Accuracy: 0.1134
-- Validation Loss: 0.9839
-- Validation Accuracy: 0.1151
-- Epoch: 77
+- Train Loss: 1.0422
+- Train Accuracy: 0.1135
+- Validation Loss: 0.9868
+- Validation Accuracy: 0.1153
+- Epoch: 78
 
 ## Model description
 
@@ -122,6 +122,7 @@ The following hyperparameters were used during training:
 | 1.0559     | 0.1132         | 0.9956          | 0.1155              | 75    |
 | 1.0517     | 0.1133         | 0.9995          | 0.1139              | 76    |
 | 1.0462     | 0.1134         | 0.9839          | 0.1151              | 77    |
+| 1.0422     | 0.1135         | 0.9868          | 0.1153              | 78    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:84540a9950a8470231f28e48fdcf5c5d9a8927834a1695ea9587549291770593
 size 499741936