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my_awesome_wnut_model_lr
julieou/my_awesome_wnut_model_lr
my_awesome_wnut_model_lr is a token classification model from julieou. 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
- Aug 21, 2026
- Updated
- Aug 21, 2026
- SHA
- 0e3840b4
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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. -->
my_awesome_wnut_model_lr
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3363
- Precision: 0.5766
- Recall: 0.3976
- F1: 0.4707
- Accuracy: 0.9480
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: 3e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 0.2708 | 0.6581 | 0.2854 | 0.3982 | 0.9413 |
| No log | 2.0 | 426 | 0.2716 | 0.5702 | 0.3197 | 0.4097 | 0.9453 |
| 0.1517 | 3.0 | 639 | 0.3042 | 0.5990 | 0.3336 | 0.4286 | 0.9460 |
| 0.1517 | 4.0 | 852 | 0.3146 | 0.5616 | 0.4180 | 0.4793 | 0.9478 |
| 0.0291 | 5.0 | 1065 | 0.3266 | 0.5635 | 0.3865 | 0.4585 | 0.9473 |
| 0.0291 | 6.0 | 1278 | 0.3363 | 0.5766 | 0.3976 | 0.4707 | 0.9480 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026