Trelis/whisper-tiny-llm-lingo

Whisper Tiny Llm Lingo

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

Training Results

Metric	Base Model	Fine-tuned
WER	15.38%	15.98%

Note: WER increased by 0.59% compared to base model

Training Details

• Base Model: openai/whisper-tiny
• Training Dataset: Trelis/run-a-kokoro-text-to-speech-server
• Train Loss: 0.4569
• Training Time: 26 seconds

Training Plot

Inference

from transformers import pipeline

asr = pipeline("automatic-speech-recognition", model="Trelis/whisper-tiny-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