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AraBERT_multi_token_classification_AraEval24_non_dupl_new_labels_set2
MM2157/AraBERT_multi_token_classification_AraEval24_non_dupl_new_labels_set2
AraBERT_multi_token_classification_AraEval24_non_dupl_new_labels_set2 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 27, 2024
- Updated
- Oct 27, 2024
- SHA
- 96736e01
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_multi_token_classification_AraEval24_non_dupl_new_labels_set2
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: 1.5971
- Precision: 0.1681
- Recall: 0.1438
- F1: 0.1550
- Accuracy: 0.6956
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 |
|---|---|---|---|---|---|---|---|
| 1.2013 | 1.0 | 776 | 1.2141 | 0.0741 | 0.0072 | 0.0131 | 0.7377 |
| 0.9773 | 2.0 | 1552 | 1.1423 | 0.1333 | 0.0442 | 0.0664 | 0.7334 |
| 0.8187 | 3.0 | 2328 | 1.1962 | 0.1562 | 0.0832 | 0.1086 | 0.7191 |
| 0.6377 | 4.0 | 3104 | 1.2847 | 0.1515 | 0.1125 | 0.1291 | 0.6886 |
| 0.5292 | 5.0 | 3880 | 1.3504 | 0.1831 | 0.1212 | 0.1459 | 0.7167 |
| 0.4089 | 6.0 | 4656 | 1.4482 | 0.1697 | 0.1371 | 0.1517 | 0.7046 |
| 0.3487 | 7.0 | 5432 | 1.4719 | 0.1591 | 0.1366 | 0.1470 | 0.7070 |
| 0.285 | 8.0 | 6208 | 1.5242 | 0.1685 | 0.1510 | 0.1593 | 0.6995 |
| 0.2643 | 9.0 | 6984 | 1.5617 | 0.1720 | 0.1397 | 0.1542 | 0.7013 |
| 0.224 | 10.0 | 7760 | 1.5971 | 0.1681 | 0.1438 | 0.1550 | 0.6956 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024