Training in progress epoch 104

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: 0.9609
-- Train Accuracy: 0.1155
-- Validation Loss: 0.9727
-- Validation Accuracy: 0.1164
-- Epoch: 103
+- Train Loss: 0.9589
+- Train Accuracy: 0.1156
+- Validation Loss: 0.9395
+- Validation Accuracy: 0.1176
+- Epoch: 104
 
 ## Model description
 
@@ -148,6 +148,7 @@ The following hyperparameters were used during training:
 | 0.9660     | 0.1154         | 0.9507          | 0.1169              | 101   |
 | 0.9636     | 0.1155         | 0.9507          | 0.1161              | 102   |
 | 0.9609     | 0.1155         | 0.9727          | 0.1164              | 103   |
+| 0.9589     | 0.1156         | 0.9395          | 0.1176              | 104   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79aa96353949c239088aa2c8d6d11ce86e47bd61dbc808bb9b57b42bd363462c
+oid sha256:21b4303744781905bedb3b3228a1b1c8d97f7207bd6ab70c8c365beef587f69e
 size 499741936