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urdu-sarcastic-xlm-roberta
UmairHere/urdu-sarcastic-xlm-roberta
urdu-sarcastic-xlm-roberta is a text classification model from UmairHere. 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
- Mar 26, 2026
- Updated
- Mar 26, 2026
- SHA
- 90274d74
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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. -->
urdu-sarcastic-xlm-roberta
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4318
- Accuracy: 0.8290
- F1: 0.8082
- Precision: 0.7615
- Recall: 0.8610
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 396 | 0.4578 | 0.8011 | 0.7897 | 0.7085 | 0.8920 |
| 0.4736 | 2.0 | 792 | 0.3955 | 0.8236 | 0.8042 | 0.7510 | 0.8656 |
| 0.4075 | 3.0 | 1188 | 0.4346 | 0.8347 | 0.8032 | 0.8005 | 0.8059 |
| 0.3340 | 4.0 | 1584 | 0.4210 | 0.8353 | 0.8088 | 0.7866 | 0.8323 |
| 0.3340 | 5.0 | 1980 | 0.4318 | 0.8290 | 0.8082 | 0.7615 | 0.8610 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 26, 2026
- Updated
- Mar 26, 2026