🧠
Model

Whisper Small Ful Victor

by Waxal Benchmarking hf-model--waxal-benchmarking--whisper-small-ful-victor
Nexus Index
40.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 11
R: Recency 96
Q: Quality 65
Tech Context
Vital Performance
152 DL / 30D
0.0%
Audited 40.3 FNI Score
Tiny - Params
- Context
152 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--waxal-benchmarking--whisper-small-ful-victor
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__waxal_benchmarking__whisper_small_ful_victor,
  author = {Waxal Benchmarking},
  title = {Whisper Small Ful Victor Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/waxal-benchmarking/whisper-small-ful-victor}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Waxal Benchmarking. (2026). Whisper Small Ful Victor [Model]. Free2AITools. https://huggingface.co/waxal-benchmarking/whisper-small-ful-victor

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download waxal-benchmarking/whisper-small-ful-victor
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

40.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 11
Recency (R) 96
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Whisper Small Ful Victor: Semantic (S:50), Authority (A:0), Popularity (P:11), Recency (R:96), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

whisper-small-ful-victor

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

  • Loss: 0.6454
  • Wer: 0.4344
  • Cer: 0.1200

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • 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
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
1.1753 0.8439 500 0.5772 0.4482 0.1283
0.9634 1.6869 1000 0.5378 0.4289 0.1259
0.6997 2.5300 1500 0.5305 0.4202 0.1153
0.5001 3.3730 2000 0.5656 0.4309 0.1188
0.3346 4.2160 2500 0.6069 0.4426 0.1223
0.2000 5.0591 3000 0.6454 0.4344 0.1200

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • 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
152Downloads
🔄 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--waxal-benchmarking--whisper-small-ful-victor
slug
waxal-benchmarking--whisper-small-ful-victor
source
huggingface
author
Waxal Benchmarking
license
Apache-2.0
tags
transformers, safetensors, whisper, automatic-speech-recognition, generated_from_trainer, base_model:openai/whisper-small, base_model:finetune:openai/whisper-small, license:apache-2.0, endpoints_compatible, region:us

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
automatic-speech-recognition

📊 Engagement & Metrics

downloads
152
stars
0
forks
0

Data indexed from public sources. Updated daily.