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AraBERT_token_classification_AraEval24_multi_new_labels
MM2157/AraBERT_token_classification_AraEval24_multi_new_labels
AraBERT_token_classification_AraEval24_multi_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 7, 2024
- Updated
- Oct 7, 2024
- SHA
- 98c6e545
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_new_labels
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2762
- Precision: 0.1083
- Recall: 0.0923
- F1: 0.0997
- Accuracy: 0.7390
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 |
|---|---|---|---|---|---|---|---|
| 1.0107 | 1.0 | 1495 | 1.0928 | 0.0866 | 0.0174 | 0.0290 | 0.7584 |
| 0.8863 | 2.0 | 2990 | 1.0662 | 0.1035 | 0.0221 | 0.0364 | 0.7576 |
| 0.7742 | 3.0 | 4485 | 1.0690 | 0.1038 | 0.0577 | 0.0741 | 0.7500 |
| 0.6818 | 4.0 | 5980 | 1.1077 | 0.1216 | 0.0667 | 0.0862 | 0.7506 |
| 0.6194 | 5.0 | 7475 | 1.1363 | 0.1120 | 0.0682 | 0.0848 | 0.7492 |
| 0.5814 | 6.0 | 8970 | 1.1855 | 0.1094 | 0.0621 | 0.0792 | 0.7504 |
| 0.5338 | 7.0 | 10465 | 1.1835 | 0.1047 | 0.0736 | 0.0865 | 0.7449 |
| 0.4922 | 8.0 | 11960 | 1.2033 | 0.1113 | 0.0923 | 0.1009 | 0.7428 |
| 0.4871 | 9.0 | 13455 | 1.2698 | 0.1095 | 0.0780 | 0.0911 | 0.7441 |
| 0.4522 | 10.0 | 14950 | 1.2762 | 0.1083 | 0.0923 | 0.0997 | 0.7390 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024