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my_awesome_wnut_model_eval_batch_32
julieou/my_awesome_wnut_model_eval_batch_32
my_awesome_wnut_model_eval_batch_32 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
- da779322
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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_eval_batch_32
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: 0.3625
- Precision: 0.5892
- Recall: 0.3828
- F1: 0.4640
- Accuracy: 0.9469
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: 32
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 0.2823 | 0.6111 | 0.2651 | 0.3697 | 0.9398 |
| No log | 2.0 | 426 | 0.2599 | 0.5669 | 0.3142 | 0.4043 | 0.9445 |
| 0.1792 | 3.0 | 639 | 0.2966 | 0.5825 | 0.3336 | 0.4243 | 0.9460 |
| 0.1792 | 4.0 | 852 | 0.2835 | 0.5208 | 0.4069 | 0.4568 | 0.9455 |
| 0.0412 | 5.0 | 1065 | 0.3066 | 0.5449 | 0.3883 | 0.4535 | 0.9471 |
| 0.0412 | 6.0 | 1278 | 0.3290 | 0.6032 | 0.3791 | 0.4656 | 0.9476 |
| 0.0412 | 7.0 | 1491 | 0.3368 | 0.5757 | 0.4124 | 0.4806 | 0.9482 |
| 0.0176 | 8.0 | 1704 | 0.3508 | 0.5442 | 0.3763 | 0.4449 | 0.9468 |
| 0.0176 | 9.0 | 1917 | 0.3625 | 0.5892 | 0.3828 | 0.4640 | 0.9469 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026