End of training

README.md

@@ -13,11 +13,11 @@ 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: -0.0492
-- Train Pooler Output Loss: -0.0492
-- Validation Loss: -0.0918
-- Validation Pooler Output Loss: -0.0918
-- Epoch: 0
+- Train Loss: -0.1214
+- Train Pooler Output Loss: -0.1214
+- Validation Loss: -0.1303
+- Validation Pooler Output Loss: -0.1303
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Pooler Output Loss | Validation Loss | Validation Pooler Output Loss | Epoch |
 |:----------:|:------------------------:|:---------------:|:-----------------------------:|:-----:|
 | -0.0492    | -0.0492                  | -0.0918         | -0.0918                       | 0     |
+| -0.0949    | -0.0949                  | -0.1146         | -0.1146                       | 1     |
+| -0.1214    | -0.1214                  | -0.1303         | -0.1303                       | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 541040640