Training in progress epoch 13

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Davlan/xlm-roberta-base-finetuned-arabic](https://huggingface.co/Davlan/xlm-roberta-base-finetuned-arabic) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 6.7555
-- Train Accuracy: 0.0291
-- Validation Loss: 6.7420
-- Validation Accuracy: 0.0281
-- Epoch: 12
+- Train Loss: 6.7267
+- Train Accuracy: 0.0293
+- Validation Loss: 6.6804
+- Validation Accuracy: 0.0291
+- Epoch: 13
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 6.8549     | 0.0292         | 6.8099          | 0.0280              | 10    |
 | 6.7978     | 0.0292         | 6.7450          | 0.0286              | 11    |
 | 6.7555     | 0.0291         | 6.7420          | 0.0281              | 12    |
+| 6.7267     | 0.0293         | 6.6804          | 0.0291              | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f513ef08e1bfe01ea3acbacf39c9c701e34a9f84b5b9d644c083847afb6d175
+oid sha256:b05db5956fb919cfc041751d6694699bc3c5c6b7b8fd9897530b36ebcc74aee7
 size 469018320