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hf_food_not_food_distilbert-base-uncased
Nareshv2/hf_food_not_food_distilbert-base-uncased
hf_food_not_food_distilbert-base-uncased is a machine learning model from Nareshv2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 7, 2026
- Updated
- Sep 11, 2026
- SHA
- 55eaab63
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. -->
hf_food_not_food_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: 0.0007
- 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3702 | 1.0 | 7 | 0.0603 | 1.0 |
| 0.0288 | 2.0 | 14 | 0.0072 | 1.0 |
| 0.005 | 3.0 | 21 | 0.0026 | 1.0 |
| 0.0023 | 4.0 | 28 | 0.0015 | 1.0 |
| 0.0013 | 5.0 | 35 | 0.0011 | 1.0 |
| 0.001 | 6.0 | 42 | 0.0009 | 1.0 |
| 0.0008 | 7.0 | 49 | 0.0008 | 1.0 |
| 0.0008 | 8.0 | 56 | 0.0007 | 1.0 |
| 0.0007 | 9.0 | 63 | 0.0007 | 1.0 |
| 0.0007 | 10.0 | 70 | 0.0007 | 1.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 7, 2026
- Updated
- Sep 11, 2026