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my_awesome_wnut_model_roberta_lr
julieou/my_awesome_wnut_model_roberta_lr
my_awesome_wnut_model_roberta_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
- roberta
- Access
- Public
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026
- SHA
- b8a247b2
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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_roberta_lr
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3186
- Precision: 0.6276
- Recall: 0.4263
- F1: 0.5077
- Accuracy: 0.9510
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_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 | 0.2403 | 0.5144 | 0.4625 | 0.4871 | 0.9457 |
| No log | 2.0 | 426 | 0.2248 | 0.5951 | 0.4291 | 0.4987 | 0.9509 |
| 0.1448 | 3.0 | 639 | 0.2159 | 0.5363 | 0.5273 | 0.5318 | 0.9513 |
| 0.1448 | 4.0 | 852 | 0.2634 | 0.6170 | 0.4764 | 0.5377 | 0.9524 |
| 0.0400 | 5.0 | 1065 | 0.2802 | 0.6048 | 0.4949 | 0.5443 | 0.9529 |
| 0.0400 | 6.0 | 1278 | 0.3084 | 0.6714 | 0.4337 | 0.5270 | 0.9526 |
| 0.0400 | 7.0 | 1491 | 0.3186 | 0.6276 | 0.4263 | 0.5077 | 0.9510 |
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
- roberta
- License
- apache-2.0
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026