Downloads · 30 days
4
14% of all-time downloads
distil-person-content-TD5
EthanVie/distil-person-content-TD5
distil-person-content-TD5 is a token classification model from EthanVie. 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
29
Public
Parameters
65.2M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors261 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 11, 2025
- Updated
- Oct 11, 2025
- SHA
- 24835c2b
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. -->
distil-person-content-TD5
This model is a fine-tuned version of distilbert/distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0557
- Precision: 0.8927
- Recall: 0.8971
- F1: 0.8949
- Accuracy: 0.9867
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1181 | 1.0 | 293 | 0.0609 | 0.8505 | 0.8088 | 0.8291 | 0.9807 |
| 0.0316 | 2.0 | 586 | 0.0646 | 0.8918 | 0.8480 | 0.8693 | 0.9853 |
| 0.0137 | 3.0 | 879 | 0.0583 | 0.87 | 0.8529 | 0.8614 | 0.9851 |
| 0.0056 | 4.0 | 1172 | 0.0531 | 0.9015 | 0.8971 | 0.8993 | 0.9868 |
| 0.0019 | 5.0 | 1465 | 0.0557 | 0.8927 | 0.8971 | 0.8949 | 0.9867 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 11, 2025
- Updated
- Oct 11, 2025