🧠
Sst2 Real Syn Data Classifier model by dilarayavuz
⭐ 39
🧠
Model

Sst2 Real Syn Data Classifier

by dilarayavuz hf-model--dilarayavuz--sst2-real-syn-data-classifier
Nexus Index
39.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 1
R: Recency 97
Q: Quality 65
Tech Context
Vital Performance
11 DL / 30D
0.0%
Source →
Audited 39 FNI Score
Tiny - Params
- Context
11 Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--dilarayavuz--sst2-real-syn-data-classifier
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__dilarayavuz__sst2_real_syn_data_classifier,
  author = {dilarayavuz},
  title = {Sst2 Real Syn Data Classifier Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/dilarayavuz/sst2-real-syn-data-classifier}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
dilarayavuz. (2026). Sst2 Real Syn Data Classifier [Model]. Free2AITools. https://huggingface.co/dilarayavuz/sst2-real-syn-data-classifier

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download dilarayavuz/sst2-real-syn-data-classifier
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 1
Recency (R) 97
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Sst2 Real Syn Data Classifier: Semantic (S:50), Authority (A:0), Popularity (P:1), Recency (R:97), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.02806108631193638

f1: 0.9974014724989173

precision: 0.9963945774444765

recall: 0.9984104046242774

auc: 0.9982484475384312

accuracy: 0.9954366839903663

⚠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

HuggingFace Hub
11Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--dilarayavuz--sst2-real-syn-data-classifier
slug
dilarayavuz--sst2-real-syn-data-classifier
source
huggingface
author
dilarayavuz
license
tags
transformers, tensorboard, safetensors, bert, text-classification, autotrain, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, text-embeddings-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
11
stars
0
forks
0

Data indexed from public sources. Updated daily.