🧠
Pii Token Filter Hard Gretel model by PuxAI
⭐ 37.9
🧠
Model

Pii Token Filter Hard Gretel

by PuxAI hf-model--puxai--pii-token-filter-hard-gretel
Nexus Index
37.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 3
R: Recency 92
Q: Quality 65
Tech Context
Vital Performance
31 DL / 30D
0.0%
Source →
Audited 37.9 FNI Score
Tiny - Params
- Context
31 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--puxai--pii-token-filter-hard-gretel
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__puxai__pii_token_filter_hard_gretel,
  author = {PuxAI},
  title = {Pii Token Filter Hard Gretel Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/puxai/pii-token-filter-hard-gretel}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
PuxAI. (2026). Pii Token Filter Hard Gretel [Model]. Free2AITools. https://huggingface.co/puxai/pii-token-filter-hard-gretel

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download puxai/pii-token-filter-hard-gretel
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 3
Recency (R) 92
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Pii Token Filter Hard Gretel: Semantic (S:50), Authority (A:0), Popularity (P:3), Recency (R:92), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
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Technical Deep Dive

PII-Token-Filter-Hard-gretel

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1881
  • Precision: 0.5606
  • Recall: 0.5286
  • F1: 0.5441
  • Accuracy: 0.9297

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: 2e-05
  • train_batch_size: 16
  • 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
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 14 0.4122 0.1461 0.1857 0.1635 0.8421
No log 2.0 28 0.2819 0.472 0.4214 0.4453 0.8919
No log 3.0 42 0.2216 0.5546 0.4714 0.5097 0.9165
No log 4.0 56 0.1960 0.5814 0.5357 0.5576 0.9275
No log 5.0 70 0.1881 0.5606 0.5286 0.5441 0.9297

Framework versions

  • Transformers 4.56.0
  • Pytorch 2.8.0+cu129
  • Datasets 4.8.2
  • Tokenizers 0.22.0

⚠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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31Downloads
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--puxai--pii-token-filter-hard-gretel
slug
puxai--pii-token-filter-hard-gretel
source
huggingface
author
PuxAI
license
MIT
tags
transformers, safetensors, deberta-v2, token-classification, generated_from_trainer, base_model:microsoft/deberta-v3-small, base_model:finetune:microsoft/deberta-v3-small, license:mit, endpoints_compatible, region:us

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
31
stars
0
forks
0

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