Trelis/whisper-small-atc-0.5s

Whisper Small Atc 0.5S

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

Training Results

Metric	Base Model	Fine-tuned
WER	55.54%	39.54%

Improvement: 16.00% WER reduction (lower is better)

Training Details

• Base Model: openai/whisper-small
• Training Dataset: Trelis/atc-train-1gb-0.5s
• Train Loss: 0.5116
• Training Time: 8.7 minutes

Inference

from transformers import pipeline

asr = pipeline("automatic-speech-recognition", model="Trelis/whisper-small-atc-0.5s")
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