Training in progress epoch 4

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0865
-- Validation Loss: 0.1051
-- Train Precision: 0.9598
-- Train Recall: 0.9555
-- Train F1: 0.9576
-- Train Accuracy: 0.9702
-- Epoch: 3
+- Train Loss: 0.0778
+- Validation Loss: 0.1042
+- Train Precision: 0.9603
+- Train Recall: 0.9565
+- Train F1: 0.9584
+- Train Accuracy: 0.9708
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.1234     | 0.1165          | 0.9559          | 0.9507       | 0.9533   | 0.9670         | 1     |
 | 0.1002     | 0.1112          | 0.9591          | 0.9531       | 0.9561   | 0.9690         | 2     |
 | 0.0865     | 0.1051          | 0.9598          | 0.9555       | 0.9576   | 0.9702         | 3     |
+| 0.0778     | 0.1042          | 0.9603          | 0.9565       | 0.9584   | 0.9708         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 538736652