🧠
translation model by osrandez
⭐ 39.8
🧠
Model

translation

by osrandez hf-model--osrandez--translation
Nexus Index
39.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 7
R: Recency 97
Q: Quality 65
Tech Context
Vital Performance
85 DL / 30D
0.0%
Source →
Audited 39.8 FNI Score
Tiny - Params
- Context
85 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--osrandez--translation
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__osrandez__translation,
  author = {osrandez},
  title = {translation Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/osrandez/translation}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
osrandez. (2026). translation [Model]. Free2AITools. https://huggingface.co/osrandez/translation

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

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

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 7
Recency (R) 97
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for translation: Semantic (S:50), Authority (A:0), Popularity (P:7), 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

translation

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0400
  • Bleu: 0.0016
  • Gen Len: 18.7123

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: 5.6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • 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: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 146 1.0636 0.0018 18.6815
No log 2.0 292 1.0400 0.0016 18.7123

Framework versions

  • Transformers 5.5.3
  • Pytorch 2.10.0+cu128
  • 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.

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
85Downloads
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--osrandez--translation
slug
osrandez--translation
source
huggingface
author
osrandez
license
Apache-2.0
tags
transformers, safetensors, t5, text2text-generation, translation, generated_from_trainer, base_model:google/flan-t5-small, base_model:finetune:google/flan-t5-small, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
translation

📊 Engagement & Metrics

downloads
85
stars
0
forks
null

Data indexed from public sources. Updated daily.