Training in progress epoch 9

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: 6.9777
-- Train Accuracy: 0.0294
-- Validation Loss: 6.8739
-- Validation Accuracy: 0.0287
-- Epoch: 8
+- Train Loss: 6.9034
+- Train Accuracy: 0.0292
+- Validation Loss: 6.8083
+- Validation Accuracy: 0.0281
+- Epoch: 9
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 7.2079     | 0.0287         | 7.0257          | 0.0286              | 6     |
 | 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     |
 
 
 ### Framework versions

tf_model.h5

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