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XML-roberta-conll2002-ner-2025-16
raulgdp/XML-roberta-conll2002-ner-2025-16
XML-roberta-conll2002-ner-2025-16 is a machine learning model from raulgdp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- 4c468215
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. -->
XML-roberta-conll2002-ner-2025-16
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: 0.0641
- Precision: 0.8746
- Recall: 0.8864
- F1: 0.8805
- Accuracy: 0.9821
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: 32
- eval_batch_size: 32
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0442 | 1.0 | 261 | 0.0686 | 0.8593 | 0.8713 | 0.8652 | 0.9801 |
| 0.0432 | 2.0 | 522 | 0.0672 | 0.8638 | 0.8736 | 0.8686 | 0.9810 |
| 0.0431 | 3.0 | 783 | 0.0656 | 0.8680 | 0.8820 | 0.8750 | 0.9814 |
| 0.0388 | 4.0 | 1044 | 0.0647 | 0.8707 | 0.8859 | 0.8783 | 0.9821 |
| 0.0369 | 5.0 | 1305 | 0.0641 | 0.8733 | 0.8855 | 0.8793 | 0.9821 |
| 0.0348 | 6.0 | 1566 | 0.0641 | 0.8746 | 0.8864 | 0.8805 | 0.9821 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- peft
- License
- mit
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025