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AraBERT_token_classification_AraEval24_multi_n_duplicates_fixed
MM2157/AraBERT_token_classification_AraEval24_multi_n_duplicates_fixed
AraBERT_token_classification_AraEval24_multi_n_duplicates_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 18, 2024
- Updated
- Oct 18, 2024
- SHA
- 9923573c
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_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: 1.6709
- Precision: 0.1776
- Recall: 0.1730
- F1: 0.1753
- Accuracy: 0.6825
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 |
|---|---|---|---|---|---|---|---|
| 1.2895 | 1.0 | 777 | 1.3206 | 0.0909 | 0.0015 | 0.0029 | 0.7251 |
| 1.0509 | 2.0 | 1554 | 1.2521 | 0.2030 | 0.0606 | 0.0934 | 0.7256 |
| 0.9064 | 3.0 | 2331 | 1.2736 | 0.1412 | 0.0810 | 0.1030 | 0.6928 |
| 0.7123 | 4.0 | 3108 | 1.3412 | 0.1481 | 0.1138 | 0.1287 | 0.6868 |
| 0.6139 | 5.0 | 3885 | 1.4056 | 0.1667 | 0.1342 | 0.1487 | 0.6993 |
| 0.4658 | 6.0 | 4662 | 1.5069 | 0.1641 | 0.1834 | 0.1732 | 0.6759 |
| 0.4326 | 7.0 | 5439 | 1.5599 | 0.1706 | 0.1496 | 0.1594 | 0.6861 |
| 0.3357 | 8.0 | 6216 | 1.6218 | 0.1781 | 0.1561 | 0.1664 | 0.6872 |
| 0.3167 | 9.0 | 6993 | 1.6579 | 0.1827 | 0.1759 | 0.1792 | 0.6815 |
| 0.2763 | 10.0 | 7770 | 1.6709 | 0.1776 | 0.1730 | 0.1753 | 0.6825 |
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