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learn_hf_food_not_food_text_classification-distilbert-base-uncased
jaime168/learn_hf_food_not_food_text_classification-distilbert-base-uncased
learn_hf_food_not_food_text_classification-distilbert-base-uncased is a text classification model from jaime168. 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
- May 29, 2026
- Updated
- May 30, 2026
- SHA
- 418a6ab3
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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_classification-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: 0.0003
- Accuracy: 1.0
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 |
|---|---|---|---|---|
| 0.3592 | 1.0 | 10 | 0.0490 | 1.0 |
| 0.0257 | 2.0 | 20 | 0.0028 | 1.0 |
| 0.0026 | 3.0 | 30 | 0.0020 | 1.0 |
| 0.0141 | 4.0 | 40 | 0.1064 | 0.98 |
| 0.0006 | 5.0 | 50 | 0.0005 | 1.0 |
| 0.0005 | 6.0 | 60 | 0.0004 | 1.0 |
| 0.0004 | 7.0 | 70 | 0.0003 | 1.0 |
| 0.0004 | 8.0 | 80 | 0.0003 | 1.0 |
| 0.0004 | 9.0 | 90 | 0.0003 | 1.0 |
| 0.0004 | 10.0 | 100 | 0.0003 | 1.0 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 29, 2026
- Updated
- May 30, 2026