Training in progress epoch 113

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: 0.9412
-- Train Accuracy: 0.1160
-- Validation Loss: 0.8970
-- Validation Accuracy: 0.1165
-- Epoch: 112
+- Train Loss: 0.9379
+- Train Accuracy: 0.1161
+- Validation Loss: 0.9111
+- Validation Accuracy: 0.1175
+- Epoch: 113
 
 ## Model description
 
@@ -157,6 +157,7 @@ The following hyperparameters were used during training:
 | 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   |
+| 0.9379     | 0.1161         | 0.9111          | 0.1175              | 113   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d21dbb517d46a2d896994acd03c022d2fe25dff6c689fbcf2726c746f68e6ed
+oid sha256:86556cb3f4972656cfa1e153751582ba11cac47c403db99f2b99a10807cbfc0b
 size 499741936