Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1257
-- Validation Loss: 0.1173
-- Train Accuracy: 0.9677
-- Train F1: 0.9540
-- Train Precision: 0.9562
-- Train Recall: 0.9518
-- Epoch: 1
+- Train Loss: 0.1031
+- Validation Loss: 0.1133
+- Train Accuracy: 0.9691
+- Train F1: 0.9560
+- Train Precision: 0.9584
+- Train Recall: 0.9535
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:--------:|:---------------:|:------------:|:-----:|
 | 0.4636     | 0.1392          | 0.9619         | 0.9455   | 0.9489          | 0.9421       | 0     |
 | 0.1257     | 0.1173          | 0.9677         | 0.9540   | 0.9562          | 0.9518       | 1     |
+| 0.1031     | 0.1133          | 0.9691         | 0.9560   | 0.9584          | 0.9535       | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 440432652