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	107.85%	21.07%

Improvement: 86.78% WER reduction (lower is better)

Training Details

• Base Model: openai/whisper-tiny
• Training Dataset: Trelis/llm-lingo
• Train Loss: 1.3194
• Training Time: 19 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.

---

Fine-tuned using Trelis Studio