End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: aubmindlab/bert-large-arabertv02-twitter
+base_model: aubmindlab/bert-large-arabertv02
 tags:
 - generated_from_trainer
 metrics:
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # arabert-emotions-classification
 
-This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter) on the None dataset.
+This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2519
-- F1: 0.7232
-- Roc Auc: 0.8101
-- Accuracy: 0.2855
+- Loss: 0.2817
+- F1: 0.7006
+- Roc Auc: 0.7931
+- Accuracy: 0.2769
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| No log        | 1.0   | 190  | 0.2817          | 0.6895 | 0.7848  | 0.2530   |
-| No log        | 2.0   | 380  | 0.2610          | 0.7191 | 0.8050  | 0.2821   |
-| 0.2876        | 3.0   | 570  | 0.2546          | 0.7138 | 0.8019  | 0.2701   |
-| 0.2876        | 4.0   | 760  | 0.2525          | 0.7211 | 0.8074  | 0.2769   |
-| 0.2876        | 5.0   | 950  | 0.2519          | 0.7232 | 0.8101  | 0.2855   |
+| No log        | 1.0   | 190  | 0.3665          | 0.5604 | 0.7049  | 0.1761   |
+| No log        | 2.0   | 380  | 0.3086          | 0.6755 | 0.7775  | 0.2564   |
+| 0.3831        | 3.0   | 570  | 0.2953          | 0.6848 | 0.7812  | 0.2496   |
+| 0.3831        | 4.0   | 760  | 0.2849          | 0.6933 | 0.7866  | 0.2615   |
+| 0.3831        | 5.0   | 950  | 0.2817          | 0.7006 | 0.7931  | 0.2769   |
 
 
 ### Framework versions