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learn_hf_food_not_food_text_classifier_distilbert_base_uncase
DSchweizer/learn_hf_food_not_food_text_classifier_distilbert_base_uncase
learn_hf_food_not_food_text_classifier_distilbert_base_uncase is a text classification model from DSchweizer. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 21, 2025
- Updated
- Jan 1, 2026
- SHA
- 4cd12d1b
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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. -->
learn_hf_food_not_food_text_classifier_distilbert_base_uncase
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: 0.0687
- 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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4267 | 1.0 | 7 | 0.1057 | 0.98 |
| 0.0479 | 2.0 | 14 | 0.0092 | 1.0 |
| 0.0053 | 3.0 | 21 | 0.0480 | 0.98 |
| 0.0019 | 4.0 | 28 | 0.0694 | 0.98 |
| 0.0011 | 5.0 | 35 | 0.0747 | 0.98 |
| 0.0008 | 6.0 | 42 | 0.0737 | 0.98 |
| 0.0007 | 7.0 | 49 | 0.0721 | 0.98 |
| 0.0006 | 8.0 | 56 | 0.0702 | 0.98 |
| 0.0006 | 9.0 | 63 | 0.0691 | 0.98 |
| 0.0006 | 10.0 | 70 | 0.0687 | 0.98 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 21, 2025
- Updated
- Jan 1, 2026