Downloads · 30 days
4
11% of all-time downloads
project_type_classifier
Ayodelesamuel1/project_type_classifier
project_type_classifier is a text classification model from Ayodelesamuel1. Use it when you need a label for a piece of text. 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
37
Public
Parameters
67M
268 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026
- SHA
- ad244f2f
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. -->
project_type_classifier
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6659
- Accuracy: 0.8150
- F1 Macro: 0.7816
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 1.3430 | 1.0 | 90 | 1.3332 | 0.5709 | 0.4273 |
| 0.8283 | 2.0 | 180 | 0.9328 | 0.7087 | 0.6170 |
| 0.5091 | 3.0 | 270 | 0.7311 | 0.7795 | 0.7332 |
| 0.4655 | 4.0 | 360 | 0.6623 | 0.8150 | 0.7875 |
| 0.2564 | 5.0 | 450 | 0.6396 | 0.7953 | 0.7549 |
| 0.1404 | 6.0 | 540 | 0.6226 | 0.8071 | 0.7742 |
| 0.1455 | 7.0 | 630 | 0.6156 | 0.8150 | 0.7847 |
| 0.0812 | 8.0 | 720 | 0.6381 | 0.8228 | 0.7917 |
| 0.0880 | 9.0 | 810 | 0.6621 | 0.8150 | 0.7831 |
| 0.0455 | 10.0 | 900 | 0.6659 | 0.8150 | 0.7816 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026