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AraBERT_token_classification_AraEval24_multi_aug1k_fixed
MM2157/AraBERT_token_classification_AraEval24_multi_aug1k_fixed
AraBERT_token_classification_AraEval24_multi_aug1k_fixed 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 15, 2024
- Updated
- Oct 15, 2024
- SHA
- 5b5056f9
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_aug1k_fixed
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: 1.3972
- Precision: 0.1599
- Recall: 0.1059
- F1: 0.1274
- Accuracy: 0.7345
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 |
|---|---|---|---|---|---|---|---|
| 0.6439 | 1.0 | 4485 | 1.2072 | 0.0203 | 0.0022 | 0.0040 | 0.7399 |
| 0.474 | 2.0 | 8970 | 1.2164 | 0.1066 | 0.0264 | 0.0423 | 0.7353 |
| 0.4282 | 3.0 | 13455 | 1.1842 | 0.1710 | 0.0675 | 0.0968 | 0.7381 |
| 0.357 | 4.0 | 17940 | 1.2641 | 0.1614 | 0.0606 | 0.0881 | 0.7422 |
| 0.3306 | 5.0 | 22425 | 1.2707 | 0.1452 | 0.0645 | 0.0893 | 0.7412 |
| 0.3066 | 6.0 | 26910 | 1.3494 | 0.1556 | 0.0772 | 0.1032 | 0.7403 |
| 0.3182 | 7.0 | 31395 | 1.3044 | 0.1510 | 0.0850 | 0.1088 | 0.7355 |
| 0.281 | 8.0 | 35880 | 1.3783 | 0.1666 | 0.0995 | 0.1246 | 0.7350 |
| 0.2531 | 9.0 | 40365 | 1.3918 | 0.1634 | 0.1003 | 0.1243 | 0.7384 |
| 0.2294 | 10.0 | 44850 | 1.3972 | 0.1599 | 0.1059 | 0.1274 | 0.7345 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024