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grievance-intent-classifier
Laranya011/grievance-intent-classifier
grievance-intent-classifier is a text classification model from Laranya011. 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
- Jun 18, 2026
- Updated
- Jun 18, 2026
- SHA
- 67bf835f
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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. -->
grievance-intent-classifier
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: 0.5715
- Accuracy: 0.8235
- Macro F1: 0.8059
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|---|---|---|---|---|---|
| 2.3255 | 1.0 | 77 | 1.8442 | 0.5752 | 0.5197 |
| 1.3356 | 2.0 | 154 | 0.9576 | 0.7908 | 0.7452 |
| 0.8913 | 3.0 | 231 | 0.6824 | 0.8105 | 0.7782 |
| 0.6168 | 4.0 | 308 | 0.5684 | 0.8497 | 0.8401 |
| 0.5292 | 5.0 | 385 | 0.5478 | 0.8693 | 0.8600 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 4.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 18, 2026
- Updated
- Jun 18, 2026