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xlm-roberta-base-finetuned-formality-mcls
ViHr/xlm-roberta-base-finetuned-formality-mcls
xlm-roberta-base-finetuned-formality-mcls is a text classification model from ViHr. 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
- May 15, 2026
- Updated
- May 15, 2026
- SHA
- 6d649889
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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. -->
xlm-roberta-base-finetuned-formality-mcls
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3549
- Accuracy: 0.8264
- F1: 0.8264
- Precision: 0.8445
- Recall: 0.8264
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.8712 | 1.0 | 3241 | 0.3501 | 0.8251 | 0.8250 | 0.8441 | 0.8251 |
| 2.6744 | 2.0 | 6482 | 0.3414 | 0.8320 | 0.8321 | 0.8468 | 0.8320 |
| 2.4269 | 3.0 | 9723 | 0.3549 | 0.8264 | 0.8264 | 0.8445 | 0.8264 |
Framework versions
- Transformers 5.8.1
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 15, 2026
- Updated
- May 15, 2026