Training in progress epoch 158

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: 0.8695
-- Train Accuracy: 0.1178
-- Validation Loss: 0.8652
-- Validation Accuracy: 0.1190
-- Epoch: 157
+- Train Loss: 0.8675
+- Train Accuracy: 0.1179
+- Validation Loss: 0.8804
+- Validation Accuracy: 0.1197
+- Epoch: 158
 
 ## Model description
 
@@ -202,6 +202,7 @@ The following hyperparameters were used during training:
 | 0.8716     | 0.1178         | 0.8647          | 0.1186              | 155   |
 | 0.8705     | 0.1178         | 0.8804          | 0.1179              | 156   |
 | 0.8695     | 0.1178         | 0.8652          | 0.1190              | 157   |
+| 0.8675     | 0.1179         | 0.8804          | 0.1197              | 158   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f1110cc4e194085082061e5d7c791808dde267508bcf3e8375af9bf118ad5d70
 size 499741936