Bmalmotairy
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marbert-fully-supervised-arabic-propaganda

Text Classification

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Bmalmotairy commited on Oct 25, 2023

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README.md +10 -10
pytorch_model.bin +1 -1
training_args.bin +2 -2

README.md CHANGED Viewed

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0022
-- Accuracy: 0.9357
-- Precision: 0.6842
 - Recall: 0.6341
-- F1: 0.6582
 ## Model description
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.1182        | 1.0   | 40   | 0.4448          | 0.9405   | 0.7105    | 0.6585 | 0.6835 |
-| 0.0416        | 2.0   | 80   | 0.5481          | 0.9286   | 0.6122    | 0.7317 | 0.6667 |
-| 0.0206        | 3.0   | 120  | 0.7990          | 0.9476   | 0.7879    | 0.6341 | 0.7027 |
-| 0.0023        | 4.0   | 160  | 1.0214          | 0.9381   | 0.7027    | 0.6341 | 0.6667 |
-| 0.002         | 5.0   | 200  | 1.0022          | 0.9357   | 0.6842    | 0.6341 | 0.6582 |
 ### Framework versions
 - Transformers 4.32.1
 - Pytorch 2.1.0
-- Datasets 2.12.0
 - Tokenizers 0.13.3

 This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.0833
+- Accuracy: 0.9310
+- Precision: 0.65
 - Recall: 0.6341
+- F1: 0.6420
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0618        | 1.0   | 40   | 0.7104          | 0.9429   | 0.8696    | 0.4878 | 0.625  |
+| 0.0232        | 2.0   | 80   | 0.6505          | 0.9357   | 0.675     | 0.6585 | 0.6667 |
+| 0.1792        | 3.0   | 120  | 0.9647          | 0.9357   | 0.6842    | 0.6341 | 0.6582 |
+| 0.0015        | 4.0   | 160  | 1.1154          | 0.9381   | 0.7027    | 0.6341 | 0.6667 |
+| 0.0017        | 5.0   | 200  | 1.0833          | 0.9310   | 0.65      | 0.6341 | 0.6420 |
 ### Framework versions
 - Transformers 4.32.1
 - Pytorch 2.1.0
+- Datasets 2.14.6
 - Tokenizers 0.13.3

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