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AraBERT_token_classification_AraEval24_aug_mlm1k_single_fixed
MM2157/AraBERT_token_classification_AraEval24_aug_mlm1k_single_fixed
AraBERT_token_classification_AraEval24_aug_mlm1k_single_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 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 0e60e289
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_aug_mlm1k_single_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: 0.7757
- Precision: 0.1501
- Recall: 0.0210
- F1: 0.0369
- Accuracy: 0.8733
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 |
|---|---|---|---|---|---|---|---|
| 0.5716 | 1.0 | 2830 | 0.7340 | 0.0 | 0.0 | 0.0 | 0.8759 |
| 0.5462 | 2.0 | 5660 | 0.7171 | 0.0 | 0.0 | 0.0 | 0.8759 |
| 0.4842 | 3.0 | 8490 | 0.6959 | 0.1 | 0.0003 | 0.0005 | 0.8759 |
| 0.4583 | 4.0 | 11320 | 0.6921 | 0.1791 | 0.0066 | 0.0126 | 0.8756 |
| 0.4488 | 5.0 | 14150 | 0.7107 | 0.1221 | 0.0115 | 0.0210 | 0.8747 |
| 0.3983 | 6.0 | 16980 | 0.7277 | 0.1223 | 0.0109 | 0.0201 | 0.8745 |
| 0.394 | 7.0 | 19810 | 0.7344 | 0.1468 | 0.0131 | 0.0241 | 0.8738 |
| 0.37 | 8.0 | 22640 | 0.7447 | 0.1485 | 0.0278 | 0.0469 | 0.8727 |
| 0.3479 | 9.0 | 25470 | 0.7617 | 0.1435 | 0.0175 | 0.0312 | 0.8736 |
| 0.329 | 10.0 | 28300 | 0.7757 | 0.1501 | 0.0210 | 0.0369 | 0.8733 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024