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: 0.0995
+- Train Loss: 0.0886
 - Validation Loss: 0.1103
-- Train Precision: 0.9597
+- Train Precision: 0.9604
 - Train Recall: 0.9555
-- Train F1: 0.9576
-- Train Accuracy: 0.9701
-- Epoch: 1
+- Train F1: 0.9579
+- Train Accuracy: 0.9703
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1303     | 0.1180          | 0.9571          | 0.9508       | 0.9539   | 0.9677         | 0     |
 | 0.0995     | 0.1103          | 0.9597          | 0.9555       | 0.9576   | 0.9701         | 1     |
+| 0.0886     | 0.1103          | 0.9604          | 0.9555       | 0.9579   | 0.9703         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e65cfa9b0b581e5ae3d17ab1ea5fd878360e36a60df5e8f39a0b199e7bb75a9f
 size 440444940