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Improved-Arabic-bert-base
Anwaarma/Improved-Arabic-bert-base
Improved-Arabic-bert-base is a text classification model from Anwaarma. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 19, 2023
- Updated
- Nov 19, 2023
- SHA
- e95e486a
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Base models
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. -->
Improved-Arabic-bert-base
This model is a fine-tuned version of asafaya/bert-base-arabic on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7595
- Accuracy: 0.86
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5197 | 0.55 | 50 | 0.3977 | 0.8 |
| 0.3323 | 1.1 | 100 | 0.3298 | 0.86 |
| 0.2844 | 1.65 | 150 | 0.3401 | 0.84 |
| 0.2128 | 2.2 | 200 | 0.4569 | 0.8 |
| 0.1539 | 2.75 | 250 | 0.4315 | 0.83 |
| 0.1346 | 3.3 | 300 | 0.5178 | 0.81 |
| 0.0933 | 3.85 | 350 | 0.5167 | 0.84 |
| 0.0641 | 4.4 | 400 | 0.6903 | 0.82 |
| 0.0698 | 4.95 | 450 | 0.5628 | 0.85 |
| 0.028 | 5.49 | 500 | 0.6472 | 0.86 |
| 0.0449 | 6.04 | 550 | 0.6739 | 0.85 |
| 0.0133 | 6.59 | 600 | 0.6925 | 0.84 |
| 0.0177 | 7.14 | 650 | 0.6716 | 0.87 |
| 0.0209 | 7.69 | 700 | 0.6644 | 0.89 |
| 0.0226 | 8.24 | 750 | 0.7650 | 0.84 |
| 0.0137 | 8.79 | 800 | 0.8186 | 0.86 |
| 0.0164 | 9.34 | 850 | 0.7771 | 0.86 |
| 0.006 | 9.89 | 900 | 0.7805 | 0.85 |
| 0.0069 | 10.44 | 950 | 0.7595 | 0.86 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 19, 2023
- Updated
- Nov 19, 2023