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tass-xlmr
Oscaroso28/tass-xlmr
tass-xlmr is a text classification model from Oscaroso28. 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 29, 2026
- Updated
- Jun 29, 2026
- SHA
- 421930c0
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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. -->
tass-xlmr
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: 1.0942
- Precision: 0.1293
- Recall: 0.3333
- F1 Macro: 0.1864
- Accuracy: 0.3880
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: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
|---|---|---|---|---|---|---|---|
| 2.1987 | 1.0 | 107 | 1.0529 | 0.4023 | 0.3937 | 0.2938 | 0.4399 |
| 2.0387 | 2.0 | 214 | 1.0269 | 0.2655 | 0.3566 | 0.2396 | 0.4098 |
| 2.2368 | 3.0 | 321 | 1.0917 | 0.1293 | 0.3333 | 0.1864 | 0.3880 |
| 2.2050 | 4.0 | 428 | 1.0942 | 0.1293 | 0.3333 | 0.1864 | 0.3880 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026