Training in progress epoch 112

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: 0.9422
+- Train Loss: 0.9412
 - Train Accuracy: 0.1160
-- Validation Loss: 0.9121
-- Validation Accuracy: 0.1167
-- Epoch: 111
+- Validation Loss: 0.8970
+- Validation Accuracy: 0.1165
+- Epoch: 112
 
 ## Model description
 
@@ -156,6 +156,7 @@ The following hyperparameters were used during training:
 | 0.9471     | 0.1159         | 0.9360          | 0.1174              | 109   |
 | 0.9449     | 0.1159         | 0.9175          | 0.1164              | 110   |
 | 0.9422     | 0.1160         | 0.9121          | 0.1167              | 111   |
+| 0.9412     | 0.1160         | 0.8970          | 0.1165              | 112   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:579d1c0d8690a22db1bb7d93654fb2fff5b58c662ab7ea8a1e2188625fdb1ff7
+oid sha256:2d21dbb517d46a2d896994acd03c022d2fe25dff6c689fbcf2726c746f68e6ed
 size 499741936