Training in progress epoch 9

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5792
-- Validation Loss: 0.8361
-- Train Accuracy: 0.76
-- Epoch: 7
+- Train Loss: 0.4904
+- Validation Loss: 0.8057
+- Train Accuracy: 0.7733
+- Epoch: 9
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 0.7429     | 0.9212          | 0.7378         | 5     |
 | 0.6483     | 0.8743          | 0.7644         | 6     |
 | 0.5792     | 0.8361          | 0.76           | 7     |
+| 0.5363     | 0.7970          | 0.7778         | 8     |
+| 0.4904     | 0.8057          | 0.7733         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e7aa0927447cd62866e0a539e18bdfa2d68184599580311c30df690fdefa62e2
+oid sha256:4d9a997d4f227972892b03cacc32314ffc36e14e6a04f1024f2a536c29d3c429
 size 1112482624