🧠
Model

Civ Mil Cls Mar20 Kaggle Origen Ckpt 17 March

by ZafarLocAI hf-model--zafarlocai--civ_mil_cls_mar20_kaggle_origen_ckpt_17_march
Nexus Index
38.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 4
R: Recency 92
Q: Quality 65
Tech Context
20.48K Ctx
Vital Performance
42 DL / 30D
0.0%
Audited 38.6 FNI Score
Tiny - Params
20k Context
42 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--zafarlocai--civ_mil_cls_mar20_kaggle_origen_ckpt_17_march
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__zafarlocai__civ_mil_cls_mar20_kaggle_origen_ckpt_17_march,
  author = {ZafarLocAI},
  title = {Civ Mil Cls Mar20 Kaggle Origen Ckpt 17 March Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/zafarlocai/civ_mil_cls_mar20_kaggle_origen_ckpt_17_march}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ZafarLocAI. (2026). Civ Mil Cls Mar20 Kaggle Origen Ckpt 17 March [Model]. Free2AITools. https://huggingface.co/zafarlocai/civ_mil_cls_mar20_kaggle_origen_ckpt_17_march

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download zafarlocai/civ_mil_cls_mar20_kaggle_origen_ckpt_17_march
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

38.6
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 4
Recency (R) 92
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Civ Mil Cls Mar20 Kaggle Origen Ckpt 17 March: Semantic (S:50), Authority (A:0), Popularity (P:4), Recency (R:92), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

civ_mil_cls_mar20_kaggle_origen_ckpt_17_march

This model is a fine-tuned version of facebook/convnextv2-large-22k-224 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0178
  • Accuracy: 0.9958

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
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Use 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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0207 1.0 707 0.0164 0.9952
0.0122 2.0 1414 0.0252 0.9926
0.0042 3.0 2121 0.0178 0.9958

Framework versions

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

âš 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.

View Original Source →

📝 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
42Downloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--zafarlocai--civ_mil_cls_mar20_kaggle_origen_ckpt_17_march
slug
zafarlocai--civ_mil_cls_mar20_kaggle_origen_ckpt_17_march
source
huggingface
author
ZafarLocAI
license
Apache-2.0
tags
transformers, safetensors, convnextv2, image-classification, generated_from_trainer, base_model:facebook/convnextv2-large-22k-224, license:apache-2.0, endpoints_compatible, region:us

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
20,480
pipeline tag
image-classification

📊 Engagement & Metrics

downloads
42
stars
0
forks
0

Data indexed from public sources. Updated daily.