Training in progress epoch 7

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: 7.2079
-- Train Accuracy: 0.0287
-- Validation Loss: 7.0257
-- Validation Accuracy: 0.0286
-- Epoch: 6
+- Train Loss: 7.0785
+- Train Accuracy: 0.0292
+- Validation Loss: 6.9028
+- Validation Accuracy: 0.0291
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 7.6665     | 0.0159         | 7.4295          | 0.0222              | 4     |
 | 7.3938     | 0.0233         | 7.1783          | 0.0289              | 5     |
 | 7.2079     | 0.0287         | 7.0257          | 0.0286              | 6     |
+| 7.0785     | 0.0292         | 6.9028          | 0.0291              | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5985379d3b4bd44906cde93eee8b075976dbb0a620012acb20c48e3be8b9633c
 size 469018320