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skill_extractor
Ayodelesamuel1/skill_extractor
skill_extractor is a token classification model from Ayodelesamuel1. 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
- Apr 11, 2026
- Updated
- Apr 11, 2026
- SHA
- 023d5ce0
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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. -->
skill_extractor
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: 0.0799
- Precision: 0.8421
- Recall: 0.9187
- F1: 0.8787
- Accuracy: 0.9833
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: 16
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3258 | 1.0 | 90 | 0.2832 | 0.6045 | 0.1938 | 0.2935 | 0.9424 |
| 0.1464 | 2.0 | 180 | 0.1485 | 0.7904 | 0.6675 | 0.7237 | 0.9705 |
| 0.1043 | 3.0 | 270 | 0.1086 | 0.7910 | 0.8421 | 0.8158 | 0.9780 |
| 0.1482 | 4.0 | 360 | 0.0883 | 0.8235 | 0.8708 | 0.8465 | 0.9805 |
| 0.0955 | 5.0 | 450 | 0.0830 | 0.8656 | 0.8780 | 0.8717 | 0.9824 |
| 0.0414 | 6.0 | 540 | 0.0779 | 0.8300 | 0.8876 | 0.8578 | 0.9822 |
| 0.0414 | 7.0 | 630 | 0.0791 | 0.8330 | 0.8828 | 0.8571 | 0.9819 |
| 0.0285 | 8.0 | 720 | 0.0809 | 0.8407 | 0.9091 | 0.8736 | 0.9828 |
| 0.0231 | 9.0 | 810 | 0.0776 | 0.8425 | 0.9211 | 0.8800 | 0.9835 |
| 0.0289 | 10.0 | 900 | 0.0799 | 0.8421 | 0.9187 | 0.8787 | 0.9833 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026