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AraBERT_token_classification__AraEval24_new
MM2157/AraBERT_token_classification__AraEval24_new
AraBERT_token_classification__AraEval24_new 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
- Aug 15, 2024
- Updated
- Aug 15, 2024
- SHA
- 6613e3be
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_new
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: 1.2632
- Precision: 0.1126
- Recall: 0.0952
- F1: 0.1032
- Accuracy: 0.7399
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 |
|---|---|---|---|---|---|---|---|
| 1.0306 | 1.0 | 1495 | 1.1183 | 0.0693 | 0.0113 | 0.0194 | 0.7582 |
| 0.9009 | 2.0 | 2990 | 1.0795 | 0.1179 | 0.0254 | 0.0417 | 0.7584 |
| 0.7937 | 3.0 | 4485 | 1.0804 | 0.1119 | 0.0626 | 0.0803 | 0.7519 |
| 0.6981 | 4.0 | 5980 | 1.1152 | 0.1284 | 0.0675 | 0.0885 | 0.7532 |
| 0.6311 | 5.0 | 7475 | 1.1341 | 0.1180 | 0.0704 | 0.0882 | 0.7502 |
| 0.5928 | 6.0 | 8970 | 1.1696 | 0.1143 | 0.0741 | 0.0899 | 0.7484 |
| 0.5425 | 7.0 | 10465 | 1.2028 | 0.1170 | 0.0841 | 0.0979 | 0.7467 |
| 0.501 | 8.0 | 11960 | 1.1950 | 0.1143 | 0.0978 | 0.1054 | 0.7453 |
| 0.494 | 9.0 | 13455 | 1.2618 | 0.1172 | 0.0879 | 0.1005 | 0.7462 |
| 0.4603 | 10.0 | 14950 | 1.2632 | 0.1126 | 0.0952 | 0.1032 | 0.7399 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Aug 15, 2024
- Updated
- Aug 15, 2024