🧠
Llmplasticity Fi Zh Linear 0.125 1 Seed42 model by Cisco1963
⭐ 38.8
🧠
Model

Llmplasticity Fi Zh Linear 0.125 1 Seed42

by Cisco1963 hf-model--cisco1963--llmplasticity-fi_zh_linear_0.125_1-seed42
Nexus Index
38.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 29
R: Recency 95
Q: Quality 65
Tech Context
Vital Performance
1.4K DL / 30D
0.0%
Source →
Audited 38.8 FNI Score
Tiny - Params
- Context
1.4K Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--cisco1963--llmplasticity-fi_zh_linear_0.125_1-seed42
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__cisco1963__llmplasticity_fi_zh_linear_0.125_1_seed42,
  author = {Cisco1963},
  title = {Llmplasticity Fi Zh Linear 0.125 1 Seed42 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/cisco1963/llmplasticity-fi_zh_linear_0.125_1-seed42}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Cisco1963. (2026). Llmplasticity Fi Zh Linear 0.125 1 Seed42 [Model]. Free2AITools. https://huggingface.co/cisco1963/llmplasticity-fi_zh_linear_0.125_1-seed42

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download cisco1963/llmplasticity-fi_zh_linear_0.125_1-seed42
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 29
Recency (R) 95
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Llmplasticity Fi Zh Linear 0.125 1 Seed42: Semantic (S:50), Authority (A:0), Popularity (P:29), Recency (R:95), 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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Technical Deep Dive

llmplasticity-fi_zh_linear_0.125_1-seed42

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9084
  • Accuracy: 0.3684

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • 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: 1.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
174.9307 0.0002 1 10.5186 0.0444
156.176 0.0003 2 10.5090 0.0444
153.8969 0.0007 4 10.2915 0.0444
148.7889 0.0013 8 10.1820 0.0444
141.9187 0.0026 16 9.9587 0.0446
128.1595 0.0053 32 9.5477 0.0528
106.8541 0.0105 64 8.9322 0.0650
88.3272 0.0210 128 7.6770 0.0752
77.3228 0.0420 256 6.2267 0.1098
68.3691 0.0840 512 4.5753 0.1913
63.1107 0.1680 1024 3.8315 0.2154
59.1683 0.3360 2048 3.5182 0.2515
49.5227 0.6721 4096 2.9683 0.3535

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.9.0+cu130
  • Datasets 4.8.4
  • 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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1.4KDownloads
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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--cisco1963--llmplasticity-fi_zh_linear_0.125_1-seed42
slug
cisco1963--llmplasticity-fi_zh_linear_0.125_1-seed42
source
huggingface
author
Cisco1963
license
MIT
tags
transformers, safetensors, gpt2, text-generation, generated_from_trainer, base_model:openai-community/gpt2, base_model:finetune:openai-community/gpt2, license:mit, text-generation-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
1,383
stars
0
forks
0

Data indexed from public sources. Updated daily.