Training in progress epoch 7

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: 0.7429
-- Validation Loss: 0.9212
-- Train Accuracy: 0.7378
-- Epoch: 5
+- Train Loss: 0.5792
+- Validation Loss: 0.8361
+- Train Accuracy: 0.76
+- Epoch: 7
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 0.9653     | 0.9618          | 0.6756         | 3     |
 | 0.8518     | 0.9611          | 0.7111         | 4     |
 | 0.7429     | 0.9212          | 0.7378         | 5     |
+| 0.6483     | 0.8743          | 0.7644         | 6     |
+| 0.5792     | 0.8361          | 0.76           | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:beb7a25b61387ef2711591cd682520f72b95833c580f88b5d0440d946a19a010
+oid sha256:e7aa0927447cd62866e0a539e18bdfa2d68184599580311c30df690fdefa62e2
 size 1112482624