Downloads · 30 days
4
8% of all-time downloads
my_awesome_wnut_model_roberta
julieou/my_awesome_wnut_model_roberta
my_awesome_wnut_model_roberta 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. --
All-time downloads
51
Public
Parameters
81.5M
2.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors326 MB · 99%
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
- c5691aea
Try a prompt
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
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: 0.3147
- Precision: 0.6358
- Recall: 0.4578
- F1: 0.5323
- Accuracy: 0.9521
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 0.2470 | 0.5175 | 0.3967 | 0.4491 | 0.9419 |
| No log | 2.0 | 426 | 0.2284 | 0.5582 | 0.4532 | 0.5003 | 0.9493 |
| 0.1690 | 3.0 | 639 | 0.2092 | 0.5175 | 0.5070 | 0.5122 | 0.9505 |
| 0.1690 | 4.0 | 852 | 0.2480 | 0.5602 | 0.5005 | 0.5286 | 0.9501 |
| 0.0475 | 5.0 | 1065 | 0.2692 | 0.6267 | 0.4745 | 0.5401 | 0.9523 |
| 0.0475 | 6.0 | 1278 | 0.2808 | 0.6317 | 0.4467 | 0.5233 | 0.9525 |
| 0.0475 | 7.0 | 1491 | 0.3147 | 0.6358 | 0.4578 | 0.5323 | 0.9521 |
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