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Arabic-MARBERT-dialect-Identification-City-Model
yemen2016/Arabic-MARBERT-dialect-Identification-City-Model
Arabic-MARBERT-dialect-Identification-City-Model is a text classification model from yemen2016. 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
- Apr 24, 2024
- Updated
- Apr 24, 2024
- SHA
- 56c3fee7
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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. -->
Arabic-MARBERT-dialect-Identification-City-Model
This model is a fine-tuned version of Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8911
- F1-score: 0.5786
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: 5e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 442 | 1.5955 | 0.4477 |
| 1.8911 | 2.0 | 884 | 1.6004 | 0.5083 |
| 1.3056 | 3.0 | 1326 | 1.5384 | 0.5537 |
| 0.989 | 4.0 | 1768 | 1.7560 | 0.5450 |
| 0.7526 | 5.0 | 2210 | 1.8035 | 0.5572 |
| 0.5765 | 6.0 | 2652 | 1.8953 | 0.5764 |
| 0.4799 | 7.0 | 3094 | 2.3015 | 0.5486 |
| 0.3629 | 8.0 | 3536 | 2.7364 | 0.5368 |
| 0.3629 | 9.0 | 3978 | 2.8416 | 0.5442 |
| 0.277 | 10.0 | 4420 | 2.8911 | 0.5786 |
| 0.2196 | 11.0 | 4862 | 3.2772 | 0.5304 |
| 0.1656 | 12.0 | 5304 | 3.1206 | 0.5394 |
| 0.1555 | 13.0 | 5746 | 3.4600 | 0.5447 |
| 0.1315 | 14.0 | 6188 | 3.4378 | 0.5445 |
| 0.1039 | 15.0 | 6630 | 3.5247 | 0.5409 |
| 0.0796 | 16.0 | 7072 | 3.6359 | 0.5419 |
| 0.0683 | 17.0 | 7514 | 3.6723 | 0.5339 |
| 0.0683 | 18.0 | 7956 | 3.6808 | 0.5435 |
| 0.0567 | 19.0 | 8398 | 3.7677 | 0.5307 |
| 0.0382 | 20.0 | 8840 | 3.8121 | 0.5306 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 24, 2024
- Updated
- Apr 24, 2024