Training in progress epoch 66

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: 1.1114
-- Train Accuracy: 0.1118
-- Validation Loss: 1.0474
-- Validation Accuracy: 0.1138
-- Epoch: 65
+- Train Loss: 1.1036
+- Train Accuracy: 0.1120
+- Validation Loss: 1.0703
+- Validation Accuracy: 0.1134
+- Epoch: 66
 
 ## Model description
 
@@ -110,6 +110,7 @@ The following hyperparameters were used during training:
 | 1.1234     | 0.1115         | 1.0625          | 0.1137              | 63    |
 | 1.1162     | 0.1117         | 1.0781          | 0.1127              | 64    |
 | 1.1114     | 0.1118         | 1.0474          | 0.1138              | 65    |
+| 1.1036     | 0.1120         | 1.0703          | 0.1134              | 66    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fd43a4ed1e89093c6cb56f952af920d9145a005ffd1937380d82a15a721c08fd
 size 499741936