Training in progress epoch 4

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: 7.5554
-- Train Accuracy: 0.0180
-- Validation Loss: 7.2709
-- Validation Accuracy: 0.0281
-- Epoch: 3
+- Train Loss: 7.2561
+- Train Accuracy: 0.0273
+- Validation Loss: 7.0588
+- Validation Accuracy: 0.0289
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 8.9356     | 0.0059         | 8.5303          | 0.0071              | 1     |
 | 8.1494     | 0.0100         | 7.7161          | 0.0137              | 2     |
 | 7.5554     | 0.0180         | 7.2709          | 0.0281              | 3     |
+| 7.2561     | 0.0273         | 7.0588          | 0.0289              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7e63f3d3f32d9566f040b26dcd22ca63d5e857f11aa4dd063ab48946b494083
+oid sha256:43e532f2c2c421abbcc3a1036512d9e90b7cdd3a2201379824d515cf37836db2
 size 469018320