Training in progress epoch 10

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: 6.9034
+- Train Loss: 6.8549
 - Train Accuracy: 0.0292
-- Validation Loss: 6.8083
-- Validation Accuracy: 0.0281
-- Epoch: 9
+- Validation Loss: 6.8099
+- Validation Accuracy: 0.0280
+- Epoch: 10
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 7.0785     | 0.0292         | 6.9028          | 0.0291              | 7     |
 | 6.9777     | 0.0294         | 6.8739          | 0.0287              | 8     |
 | 6.9034     | 0.0292         | 6.8083          | 0.0281              | 9     |
+| 6.8549     | 0.0292         | 6.8099          | 0.0280              | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:917ef02ba69472232ef0eef4b151ee374857dd5a3e6fd223a81aa1c2532df520
+oid sha256:77c23a67b3558cd1b6efd0ad18ef23c753fd15ab6798473216e032307e96133b
 size 469018320