Trelis/whisper-small-llm-lingo

Whisper Small Llm Lingo

Fine-tuned Whisper model based on openai/whisper-small.

Training Results

Metric	Base Model	Fine-tuned
WER	20.66%	12.40%

Improvement: 8.26% WER reduction (lower is better)

Training Details

• Base Model: openai/whisper-small
• Training Dataset: Trelis/llm-lingo
• Train Loss: 0.8748
• Training Time: 1.1 minutes

Training Plot

Inference

from transformers import pipeline

asr = pipeline("automatic-speech-recognition", model="Trelis/whisper-small-llm-lingo")
result = asr("path/to/audio.wav")
print(result["text"])

Training Logs

Full training logs are available in training_log.txt.

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Fine-tuned using Trelis Studio