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Detr Resnet 50 Finetuned Cppe5 dataset by talk2raja
⭐ 25.6
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Dataset

Detr Resnet 50 Finetuned Cppe5

by talk2raja hf-model--talk2raja--detr-resnet-50_finetuned_cppe5
Nexus Index
25.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 23
Tech Context
Vital Performance
0 DL / 30D
0.0%
Data Integrity 25.6 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-model--talk2raja--detr-resnet-50_finetuned_cppe5
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_model__talk2raja__detr_resnet_50_finetuned_cppe5,
  author = {talk2raja},
  title = {Detr Resnet 50 Finetuned Cppe5 Dataset},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/dataset/hf-model--talk2raja--detr-resnet-50_finetuned_cppe5}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
talk2raja. (2026). Detr Resnet 50 Finetuned Cppe5 [Dataset]. Free2AITools. https://free2aitools.com/dataset/hf-model--talk2raja--detr-resnet-50_finetuned_cppe5

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
25.6
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 23

đŸ’Ŧ Index Insight

FNI V2.0 for Detr Resnet 50 Finetuned Cppe5: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:23).

Free2AITools Nexus Index

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Schema structure is shown in the Field Logic panel when available.

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Dataset Specification

detr-resnet-50_finetuned_cppe5

This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
🤗 Data Source: Hugging Face ↗
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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡ī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--talk2raja--detr-resnet-50_finetuned_cppe5
slug
talk2raja--detr-resnet-50_finetuned_cppe5
source
huggingface
author
talk2raja
license
tags

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

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