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xlmr_multilabel_websites
rgusseinov/xlmr_multilabel_websites
xlmr_multilabel_websites is a text classification model from rgusseinov. 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
- Feb 16, 2026
- Updated
- Feb 18, 2026
- SHA
- f7232a4f
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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. -->
xlmr_multilabel_websites
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4138
- Accuracy: 0.8857
- F1 Macro: 0.8854
- Precision Macro: 0.9113
- Recall Macro: 0.8665
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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|
| 1.0316 | 1.0 | 41 | 0.8149 | 0.7 | 0.5853 | 0.8727 | 0.5673 |
| 0.7677 | 2.0 | 82 | 0.5259 | 0.8786 | 0.8794 | 0.9063 | 0.8598 |
| 0.5379 | 3.0 | 123 | 0.4138 | 0.8857 | 0.8854 | 0.9113 | 0.8665 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 16, 2026
- Updated
- Feb 18, 2026