🧠
Food101 Vit Dinov3 model by merve
⭐ 39.1
🧠
Model

Food101 Vit Dinov3

by merve hf-model--merve--food101-vit-dinov3
Nexus Index
39.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 17
R: Recency 90
Q: Quality 65
Tech Context
Vital Performance
358 DL / 30D
0.0%
Source →
Audited 39.1 FNI Score
Tiny - Params
- Context
358 Downloads
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID hf-model--merve--food101-vit-dinov3
License Other
Provider huggingface
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Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__merve__food101_vit_dinov3,
  author = {merve},
  title = {Food101 Vit Dinov3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/merve/food101-vit-dinov3}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
merve. (2026). Food101 Vit Dinov3 [Model]. Free2AITools. https://huggingface.co/merve/food101-vit-dinov3

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download merve/food101-vit-dinov3
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 17
Recency (R) 90
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Food101 Vit Dinov3: Semantic (S:50), Authority (A:0), Popularity (P:17), Recency (R:90), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
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Deployment Guide

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Technical Deep Dive

food101-vit-dinov3

This model is a fine-tuned version of timm/vit_base_patch16_dinov3.lvd1689m on the ethz/food101 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0491
  • Accuracy: 0.9865

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: 5e-05
  • 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
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 10.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7454 1.0 237 0.2419 0.9493
0.3067 2.0 474 0.1198 0.9671
0.2526 3.0 711 0.0859 0.9747
0.1810 4.0 948 0.0706 0.9802
0.1365 5.0 1185 0.0621 0.9802
0.1284 6.0 1422 0.0648 0.9814
0.1034 7.0 1659 0.0523 0.9830
0.0815 8.0 1896 0.0566 0.9834
0.0810 9.0 2133 0.0503 0.9861
0.0597 10.0 2370 0.0491 0.9865

Framework versions

  • Transformers 5.3.0.dev0
  • Pytorch 2.10.0+cu128
  • Datasets 4.6.1
  • Tokenizers 0.22.2

⚠ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

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358Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--merve--food101-vit-dinov3
slug
merve--food101-vit-dinov3
source
huggingface
author
merve
license
Other
tags
transformers, safetensors, timm_wrapper, image-classification, vision, timm, generated_from_trainer, base_model:timm/vit_base_patch16_dinov3.lvd1689m, license:other, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
image-classification

📊 Engagement & Metrics

downloads
358
stars
0
forks
0

Data indexed from public sources. Updated daily.