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AraBERT_token_classification_AraEval24_multi_n_duplicates_new_labels
MM2157/AraBERT_token_classification_AraEval24_multi_n_duplicates_new_labels
AraBERT_token_classification_AraEval24_multi_n_duplicates_new_labels is a machine learning model from MM2157. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024
- SHA
- b3b9970b
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
AraBERT_token_classification_AraEval24_multi_n_duplicates_new_labels
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6350
- Precision: 0.1687
- Recall: 0.1720
- F1: 0.1703
- Accuracy: 0.6880
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.2584 | 1.0 | 777 | 1.2975 | 0.0956 | 0.0066 | 0.0123 | 0.7245 |
| 1.0243 | 2.0 | 1554 | 1.2355 | 0.2343 | 0.0644 | 0.1011 | 0.7293 |
| 0.8839 | 3.0 | 2331 | 1.2564 | 0.1364 | 0.0903 | 0.1087 | 0.6893 |
| 0.6829 | 4.0 | 3108 | 1.3350 | 0.1447 | 0.1279 | 0.1358 | 0.6925 |
| 0.585 | 5.0 | 3885 | 1.3954 | 0.1819 | 0.1603 | 0.1704 | 0.6856 |
| 0.4429 | 6.0 | 4662 | 1.4822 | 0.1926 | 0.1837 | 0.1880 | 0.6855 |
| 0.4109 | 7.0 | 5439 | 1.5527 | 0.1770 | 0.1679 | 0.1724 | 0.6889 |
| 0.3261 | 8.0 | 6216 | 1.5945 | 0.1822 | 0.1679 | 0.1748 | 0.6947 |
| 0.294 | 9.0 | 6993 | 1.6201 | 0.1662 | 0.1857 | 0.1754 | 0.6777 |
| 0.2602 | 10.0 | 7770 | 1.6350 | 0.1687 | 0.1720 | 0.1703 | 0.6880 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024