Training in progress epoch 11

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: 6.8549
+- Train Loss: 6.7978
 - Train Accuracy: 0.0292
-- Validation Loss: 6.8099
-- Validation Accuracy: 0.0280
-- Epoch: 10
+- Validation Loss: 6.7450
+- Validation Accuracy: 0.0286
+- Epoch: 11
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 6.7978     | 0.0292         | 6.7450          | 0.0286              | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:77c23a67b3558cd1b6efd0ad18ef23c753fd15ab6798473216e032307e96133b
+oid sha256:fb0924fa548016148a5aceb0ec157c10af0338a0f18b7ea9b9895686e7dac3fc
 size 469018320