Training in progress epoch 111

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: 0.9449
-- Train Accuracy: 0.1159
-- Validation Loss: 0.9175
-- Validation Accuracy: 0.1164
-- Epoch: 110
+- Train Loss: 0.9422
+- Train Accuracy: 0.1160
+- Validation Loss: 0.9121
+- Validation Accuracy: 0.1167
+- Epoch: 111
 
 ## Model description
 
@@ -155,6 +155,7 @@ The following hyperparameters were used during training:
 | 0.9488     | 0.1158         | 0.9131          | 0.1176              | 108   |
 | 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   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce13ae7d53f06437d2b6752b0f0c5cd08579cf3f32d45f431c35152dd1e5100f
+oid sha256:579d1c0d8690a22db1bb7d93654fb2fff5b58c662ab7ea8a1e2188625fdb1ff7
 size 499741936