mahdiiaazad/learn_hf_food_not_food_text_classifier_distilbert
text-classification model by mahdiiaazad
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Model card & documentation
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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: More…
Read the full model card ↗ · Preview checked 2026-09-29T08:02:11.629Z
Inside the original model card — Document outline
- learnhffoodnotfoodtextclassifierdistilbert
- Model description
- Intended uses & limitations
- Training and evaluation data
- Training procedure
- Training hyperparameters
- Training results
- Framework versions
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
mahdiiaazad/learn_hf_food_not_food_text_classifier_distilbert is a text-classification model repository published by mahdiiaazad on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 66,955,010
- Architecture
- DistilBertForSequenceClassification
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-29T05:59:18.000Z
- Last modified
- 2026-09-29T06:01:21.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: distilbert/distilbert-base-uncased
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-29T06:38:10.429Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.