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deberta-v3-base-ner-ontonotes5
longhoang01/deberta-v3-base-ner-ontonotes5
deberta-v3-base-ner-ontonotes5 is a token classification model from longhoang01. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Nov 25, 2025
- Updated
- Nov 25, 2025
- SHA
- 99467b68
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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. -->
deberta-v3-base-ner-ontonotes5
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0718
- Precision: 0.8889
- Recall: 0.9124
- F1: 0.9005
- Accuracy: 0.9827
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: 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.078 | 1.0 | 7491 | 0.0807 | 0.8466 | 0.8888 | 0.8672 | 0.9773 |
| 0.0589 | 2.0 | 14982 | 0.0773 | 0.8628 | 0.9010 | 0.8815 | 0.9801 |
| 0.033 | 3.0 | 22473 | 0.0811 | 0.8727 | 0.8989 | 0.8856 | 0.9802 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Nov 25, 2025
- Updated
- Nov 25, 2025