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xlm-roberta-tass
nicolenarvaezm/xlm-roberta-tass
xlm-roberta-tass is a text classification model from nicolenarvaezm. 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
- Jul 18, 2026
- Updated
- Jul 18, 2026
- SHA
- 3140275c
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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-tass
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0406
- F1 Macro: 0.6766
- F1 Weighted: 0.6807
- Accuracy: 0.6785
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
|---|---|---|---|---|---|---|
| 1.0727 | 1.0 | 241 | 0.8169 | 0.6154 | 0.6211 | 0.6285 |
| 0.7599 | 2.0 | 482 | 0.7966 | 0.6475 | 0.6503 | 0.6535 |
| 0.6191 | 3.0 | 723 | 0.7674 | 0.6884 | 0.6922 | 0.6982 |
| 0.4648 | 4.0 | 964 | 0.8670 | 0.6833 | 0.6853 | 0.6826 |
| 0.3635 | 5.0 | 1205 | 0.9741 | 0.6765 | 0.6802 | 0.6764 |
| 0.3154 | 6.0 | 1446 | 1.0406 | 0.6766 | 0.6807 | 0.6785 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026