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learn_hf_food_not_food_text_classifier-distilbert-base-uncased
ABG92/learn_hf_food_not_food_text_classifier-distilbert-base-uncased
learn_hf_food_not_food_text_classifier-distilbert-base-uncased is a text classification model from ABG92. 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
- Feb 3, 2026
- Updated
- Feb 3, 2026
- SHA
- 593e831a
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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-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: 0.2556
- Accuracy: 0.94
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: 0.001
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6463 | 1.0 | 13 | 0.0154 | 1.0 |
| 0.1306 | 2.0 | 26 | 0.4413 | 0.94 |
| 0.1877 | 3.0 | 39 | 0.1442 | 0.98 |
| 0.3572 | 4.0 | 52 | 0.5013 | 0.78 |
| 0.6451 | 5.0 | 65 | 0.7337 | 0.34 |
| 0.5830 | 6.0 | 78 | 1.4070 | 0.34 |
| 0.2572 | 7.0 | 91 | 0.3371 | 0.92 |
| 0.1813 | 8.0 | 104 | 0.2714 | 0.94 |
| 0.1569 | 9.0 | 117 | 0.2669 | 0.94 |
| 0.1678 | 10.0 | 130 | 0.2556 | 0.94 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 3, 2026
- Updated
- Feb 3, 2026