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resume-ner
KeerthiSubramani/resume-ner
resume-ner is a token classification model from KeerthiSubramani. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026
- SHA
- 2358e59e
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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. -->
resume-ner
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0147
- F1: 0.9827
- Precision: 0.9944
- Recall: 0.9712
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| 0.0303 | 1.0 | 100 | 0.0302 | 0.9789 | 0.9586 | 1.0 |
| 0.0193 | 2.0 | 200 | 0.0169 | 0.9843 | 1.0 | 0.9692 |
| 0.0178 | 3.0 | 300 | 0.0155 | 0.9843 | 1.0 | 0.9692 |
| 0.0137 | 4.0 | 400 | 0.0149 | 0.9843 | 1.0 | 0.9692 |
| 0.0150 | 5.0 | 500 | 0.0147 | 0.9827 | 0.9944 | 0.9712 |
Framework versions
- Transformers 5.10.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 12, 2026
- Updated
- Jun 12, 2026