Downloads · 30 days
77
64% of all-time downloads
food_not_food_text_classifier_distilbert_base_uncased
kiwi4212/food_not_food_text_classifier_distilbert_base_uncased
food_not_food_text_classifier_distilbert_base_uncased is a text classification model from kiwi4212. 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
121
Public
Parameters
67M
804 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
- Feb 22, 2026
- Updated
- Feb 27, 2026
- SHA
- 71550453
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. -->
food_not_food_text_classifier_distilbert_base_uncased
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0952
- Accuracy: 0.98
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4046 | 1.0 | 7 | 0.1237 | 0.98 |
| 0.0350 | 2.0 | 14 | 0.0731 | 0.98 |
| 0.0047 | 3.0 | 21 | 0.0868 | 0.98 |
| 0.0021 | 4.0 | 28 | 0.0925 | 0.98 |
| 0.0015 | 5.0 | 35 | 0.0948 | 0.98 |
| 0.0013 | 6.0 | 42 | 0.0952 | 0.98 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 22, 2026
- Updated
- Feb 27, 2026