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my_awesome_wnut_model
juannmy400/my_awesome_wnut_model
my_awesome_wnut_model is a token classification model from juannmy400. 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
- Sep 20, 2025
- Updated
- Sep 20, 2025
- SHA
- 753cfe86
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Datasets
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. -->
my_awesome_wnut_model
This model is a fine-tuned version of juannmy400/my_awesome_wnut_model on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2819
- Precision: 0.5808
- Recall: 0.3596
- F1: 0.4442
- Accuracy: 0.9458
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 0.2823 | 0.6334 | 0.3058 | 0.4125 | 0.9438 |
| No log | 2.0 | 426 | 0.2819 | 0.5808 | 0.3596 | 0.4442 | 0.9458 |
| 0.0792 | 3.0 | 639 | 0.2933 | 0.5256 | 0.3902 | 0.4479 | 0.9457 |
| 0.0792 | 4.0 | 852 | 0.3066 | 0.5080 | 0.4115 | 0.4547 | 0.9457 |
| 0.0295 | 5.0 | 1065 | 0.3095 | 0.5081 | 0.4059 | 0.4513 | 0.9448 |
| 0.0295 | 6.0 | 1278 | 0.3382 | 0.5341 | 0.4208 | 0.4707 | 0.9463 |
| 0.0295 | 7.0 | 1491 | 0.3547 | 0.5475 | 0.4115 | 0.4698 | 0.9469 |
| 0.0146 | 8.0 | 1704 | 0.3703 | 0.5645 | 0.3892 | 0.4608 | 0.9465 |
| 0.0146 | 9.0 | 1917 | 0.3635 | 0.5672 | 0.4106 | 0.4763 | 0.9472 |
| 0.0082 | 10.0 | 2130 | 0.3680 | 0.5727 | 0.4050 | 0.4745 | 0.9472 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0
- Datasets 4.1.1
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 20, 2025
- Updated
- Sep 20, 2025