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AraBert-Arabic-Sentiment-Analysis
PRAli22/AraBert-Arabic-Sentiment-Analysis
AraBert-Arabic-Sentiment-Analysis is a text classification model from PRAli22. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024
- SHA
- eb0ec2d7
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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. -->
AraBert-Arabic-Sentiment-Analysis
This model is a fine-tuned version of AraBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5327
- Macro F1: 0.6543
- Accuracy: 0.8003
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: 16
- eval_batch_size: 128
- seed: 25
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 497 | 0.5337 | 0.6219 | 0.7967 |
| 0.6177 | 2.0 | 994 | 0.5327 | 0.6543 | 0.8003 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- ar
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024