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arabert-large-algerian
M-ARBY/arabert-large-algerian
arabert-large-algerian is a text classification model from M-ARBY. 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
- Feb 15, 2024
- Updated
- Feb 15, 2024
- SHA
- c7c769fe
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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. -->
arabert-large-algerian
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9673
- Accuracy: {'accuracy': 0.56}
- F1score: {'f1': 0.5573651188151455}
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
- lr_scheduler_warmup_steps: 40
- num_epochs: 2
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024