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intfloat-multilingual-e5-large-arabic-fp16-allagree
abdulrahman-nuzha/intfloat-multilingual-e5-large-arabic-fp16-allagree
intfloat-multilingual-e5-large-arabic-fp16-allagree is a text classification model from abdulrahman-nuzha. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 15, 2025
- Updated
- Apr 15, 2025
- SHA
- df200916
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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. -->
intfloat-multilingual-e5-large-arabic-fp16-allagree
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1942
- Accuracy: 0.9347
- Precision: 0.9349
- Recall: 0.9347
- F1: 0.9346
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.9731 | 0.7463 | 50 | 0.6211 | 0.7603 | 0.8128 | 0.7603 | 0.6907 |
| 0.375 | 1.4925 | 100 | 0.1942 | 0.9347 | 0.9349 | 0.9347 | 0.9346 |
| 0.1713 | 2.2388 | 150 | 0.1802 | 0.9412 | 0.9414 | 0.9412 | 0.9412 |
| 0.1466 | 2.9851 | 200 | 0.2002 | 0.9291 | 0.9303 | 0.9291 | 0.9287 |
| 0.0936 | 3.7313 | 250 | 0.2041 | 0.9356 | 0.9356 | 0.9356 | 0.9356 |
| 0.0577 | 4.4776 | 300 | 0.2556 | 0.9431 | 0.9436 | 0.9431 | 0.9432 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 15, 2025
- Updated
- Apr 15, 2025