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xlm-roberta-tass-2025-II-bs8
shaka03/xlm-roberta-tass-2025-II-bs8
xlm-roberta-tass-2025-II-bs8 is a text classification model from shaka03. 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
- Nov 5, 2025
- Updated
- Nov 5, 2025
- SHA
- 36375e79
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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-2025-II-bs8
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: 1.6042
- F1 Macro: 0.6569
- F1 Weighted: 0.6598
- Accuracy: 0.6672
- Recall: 0.6666
- Precision: 0.6558
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: 8
- eval_batch_size: 8
- 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_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy | Recall | Precision |
|---|---|---|---|---|---|---|---|---|
| 0.3514 | 1.0 | 481 | 1.5975 | 0.6715 | 0.6753 | 0.6805 | 0.6776 | 0.6705 |
| 0.4003 | 2.0 | 962 | 1.9911 | 0.6585 | 0.6620 | 0.6608 | 0.6539 | 0.6665 |
| 0.3157 | 3.0 | 1443 | 1.9911 | 0.6710 | 0.6741 | 0.6764 | 0.6722 | 0.6708 |
| 0.2285 | 4.0 | 1924 | 2.1788 | 0.6673 | 0.6680 | 0.6660 | 0.6686 | 0.6688 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 5, 2025
- Updated
- Nov 5, 2025