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AraBERT_token_classification_Ara_filt_single
MM2157/AraBERT_token_classification_Ara_filt_single
AraBERT_token_classification_Ara_filt_single 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
- Sep 12, 2024
- Updated
- Sep 12, 2024
- SHA
- 13744f95
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_Ara_filt_single
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: 0.9395
- Precision: 0.0698
- Recall: 0.0168
- F1: 0.0270
- Accuracy: 0.8478
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 |
|---|---|---|---|---|---|---|---|
| 0.7101 | 1.0 | 1914 | 0.8617 | 0.0 | 0.0 | 0.0 | 0.8519 |
| 0.6324 | 2.0 | 3828 | 0.8130 | 0.0 | 0.0 | 0.0 | 0.8519 |
| 0.5536 | 3.0 | 5742 | 0.8027 | 0.0345 | 0.0002 | 0.0005 | 0.8519 |
| 0.4879 | 4.0 | 7656 | 0.8356 | 0.0476 | 0.0015 | 0.0028 | 0.8513 |
| 0.4725 | 5.0 | 9570 | 0.8500 | 0.0 | 0.0 | 0.0 | 0.8514 |
| 0.4255 | 6.0 | 11484 | 0.8831 | 0.0376 | 0.0032 | 0.0058 | 0.8500 |
| 0.3892 | 7.0 | 13398 | 0.8957 | 0.0358 | 0.0053 | 0.0093 | 0.8480 |
| 0.3702 | 8.0 | 15312 | 0.9107 | 0.0574 | 0.0085 | 0.0148 | 0.8495 |
| 0.3552 | 9.0 | 17226 | 0.9399 | 0.0583 | 0.0117 | 0.0194 | 0.8489 |
| 0.3405 | 10.0 | 19140 | 0.9395 | 0.0698 | 0.0168 | 0.0270 | 0.8478 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Sep 12, 2024
- Updated
- Sep 12, 2024