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mdeberta-crf-yarn-ner
JamesLemo/mdeberta-crf-yarn-ner
mdeberta-crf-yarn-ner is a machine learning model from JamesLemo. 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 transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated May 7, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- May 7, 2026
- Updated
- May 7, 2026
- SHA
- 8362005a
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. -->
mdeberta-crf-yarn-ner
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1735
- Precision: 0.9871
- Recall: 0.9922
- F1: 0.9896
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: 16
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 1.0562 | 1.0 | 735 | 1.3849 | 0.9798 | 0.9849 | 0.9824 |
| 0.9622 | 2.0 | 1470 | 0.8320 | 0.9791 | 0.9887 | 0.9839 |
| 0.9311 | 3.0 | 2205 | 1.0320 | 0.9805 | 0.9870 | 0.9838 |
| 0.7683 | 4.0 | 2940 | 0.9384 | 0.9801 | 0.9906 | 0.9853 |
| 0.3901 | 5.0 | 3675 | 0.9550 | 0.9826 | 0.9889 | 0.9857 |
| 0.3419 | 6.0 | 4410 | 0.9833 | 0.9871 | 0.9902 | 0.9886 |
| 0.2612 | 7.0 | 5145 | 0.9339 | 0.9852 | 0.9902 | 0.9877 |
| 0.2264 | 8.0 | 5880 | 1.0695 | 0.9867 | 0.9902 | 0.9884 |
| 0.0923 | 9.0 | 6615 | 1.0227 | 0.9850 | 0.9900 | 0.9875 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- mit
- Created
- May 7, 2026
- Updated
- May 7, 2026