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xlm-roberta-tass-2025-II-bs16
shaka03/xlm-roberta-tass-2025-II-bs16
xlm-roberta-tass-2025-II-bs16 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
- 57c97266
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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-bs16
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: 0.7998
- F1 Macro: 0.6533
- F1 Weighted: 0.6566
- Accuracy: 0.6652
- Recall: 0.6574
- Precision: 0.6582
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: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.0875 | 1.0 | 241 | 0.9104 | 0.4676 | 0.4799 | 0.5806 | 0.5689 | 0.5935 |
| 0.8414 | 2.0 | 482 | 0.7796 | 0.6830 | 0.6877 | 0.6961 | 0.6833 | 0.6970 |
| 0.6661 | 3.0 | 723 | 0.7433 | 0.6817 | 0.6853 | 0.6889 | 0.6858 | 0.6798 |
| 0.5384 | 4.0 | 964 | 0.7479 | 0.6799 | 0.6834 | 0.6857 | 0.6841 | 0.6780 |
| 0.4179 | 5.0 | 1205 | 0.8774 | 0.6739 | 0.6762 | 0.6712 | 0.6691 | 0.6868 |
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