Downloads · 30 days
5
6% of all-time downloads
first_token_classification_wnut_distilbert_model
MohamedAliAhmed/first_token_classification_wnut_distilbert_model
first_token_classification_wnut_distilbert_model is a token classification model from MohamedAliAhmed. 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
84
Public
Parameters
66.4M
531 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors266 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026
- SHA
- ebb6f725
Try a prompt
Base models
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. -->
first_token_classification_wnut_distilbert_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2734
- Precision: 0.5518
- Recall: 0.3457
- F1: 0.4251
- Accuracy: 0.9437
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: 8
- eval_batch_size: 8
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 425 | 0.2845 | 0.6045 | 0.3216 | 0.4198 | 0.9421 |
| 0.2229 | 2.0 | 850 | 0.2734 | 0.5518 | 0.3457 | 0.4251 | 0.9437 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 5, 2026
- Updated
- Apr 5, 2026