Training in progress epoch 3

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: 8.7336
-- Train Accuracy: 0.0068
-- Validation Loss: 8.4005
-- Validation Accuracy: 0.0084
-- Epoch: 2
+- Train Loss: 8.1287
+- Train Accuracy: 0.0109
+- Validation Loss: 7.7969
+- Validation Accuracy: 0.0133
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 9.7281     | 0.0031         | 9.4281          | 0.0045              | 0     |
 | 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58a81712133bc5a77f7381e573b50006cd833ffb5390109d570ac4b636575246
+oid sha256:1b79034e4b8ea1decf953297635901cc45d012590b28e236d8901e04007d9717
 size 469018320