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myvillage-skill-extractor
Ayodelesamuel1/myvillage-skill-extractor
myvillage-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 15, 2026
- SHA
- 9c24939f
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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: 0.0854
- Precision: 0.8381
- Recall: 0.9163
- F1: 0.8754
- Accuracy: 0.9824
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 |
|---|---|---|---|---|---|---|---|
| 0.3134 | 1.0 | 90 | 0.2692 | 0.6416 | 0.2656 | 0.3756 | 0.9472 |
| 0.1446 | 2.0 | 180 | 0.1460 | 0.7652 | 0.6627 | 0.7103 | 0.9699 |
| 0.0999 | 3.0 | 270 | 0.1076 | 0.7533 | 0.8254 | 0.7877 | 0.9765 |
| 0.1241 | 4.0 | 360 | 0.0919 | 0.8004 | 0.8541 | 0.8264 | 0.9800 |
| 0.0864 | 5.0 | 450 | 0.0878 | 0.8360 | 0.8900 | 0.8621 | 0.9813 |
| 0.0415 | 6.0 | 540 | 0.0844 | 0.8264 | 0.8995 | 0.8614 | 0.9808 |
| 0.0334 | 7.0 | 630 | 0.0844 | 0.8542 | 0.8971 | 0.8751 | 0.9820 |
| 0.0287 | 8.0 | 720 | 0.0846 | 0.8422 | 0.9067 | 0.8733 | 0.9823 |
| 0.0235 | 9.0 | 810 | 0.0854 | 0.8362 | 0.9163 | 0.8744 | 0.9826 |
| 0.0270 | 10.0 | 900 | 0.0854 | 0.8381 | 0.9163 | 0.8754 | 0.9824 |
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 15, 2026