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: 8.1287
-- Train Accuracy: 0.0109
-- Validation Loss: 7.7969
-- Validation Accuracy: 0.0133
-- Epoch: 3
+- Train Loss: 7.6665
+- Train Accuracy: 0.0159
+- Validation Loss: 7.4295
+- Validation Accuracy: 0.0222
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 9.2184     | 0.0051         | 8.9814          | 0.0060              | 1     |
 | 8.7336     | 0.0068         | 8.4005          | 0.0084              | 2     |
 | 8.1287     | 0.0109         | 7.7969          | 0.0133              | 3     |
+| 7.6665     | 0.0159         | 7.4295          | 0.0222              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:89802a9fb139bdda62f4a5ac47933ae4bc4c4fa35b08bdd7c1e7f022c2eb055d
 size 469018320