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XLMRoberta-TASS-v2-2026
raulgdp/XLMRoberta-TASS-v2-2026
XLMRoberta-TASS-v2-2026 is a text classification model from raulgdp. 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 25, 2026
- Updated
- May 25, 2026
- SHA
- b3fffbe8
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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. -->
XLMRoberta-TASS-v2-2026
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9640
- F1 Macro: 0.5098
- F1 Weighted: 0.5186
- Accuracy: 0.5630
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 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: 0.15
- num_epochs: 6
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
|---|---|---|---|---|---|---|
| 1.1069 | 1.0 | 241 | 1.0931 | 0.3048 | 0.3239 | 0.3694 |
| 1.1106 | 2.0 | 482 | 1.0892 | 0.1878 | 0.2211 | 0.3923 |
| 1.0845 | 3.0 | 723 | 1.0726 | 0.3716 | 0.3849 | 0.4807 |
| 1.081 | 4.0 | 964 | 1.0165 | 0.4088 | 0.4198 | 0.5182 |
| 1.0413 | 5.0 | 1205 | 0.9810 | 0.4980 | 0.5061 | 0.5546 |
| 1.036 | 6.0 | 1446 | 0.9640 | 0.5098 | 0.5186 | 0.5630 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1+cu118
- Datasets 4.2.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 25, 2026
- Updated
- May 25, 2026