Training in progress epoch 14

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: 6.7267
-- Train Accuracy: 0.0293
-- Validation Loss: 6.6804
-- Validation Accuracy: 0.0291
-- Epoch: 13
+- Train Loss: 6.7068
+- Train Accuracy: 0.0290
+- Validation Loss: 6.6661
+- Validation Accuracy: 0.0290
+- Epoch: 14
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 6.7978     | 0.0292         | 6.7450          | 0.0286              | 11    |
 | 6.7555     | 0.0291         | 6.7420          | 0.0281              | 12    |
 | 6.7267     | 0.0293         | 6.6804          | 0.0291              | 13    |
+| 6.7068     | 0.0290         | 6.6661          | 0.0290              | 14    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:550abc4f04d5f8b48f461dd3c0b5b679ea6886356bc2043deb7b069e795bea30
 size 469018320