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DILHTWD/
whisper-large-v3-turbo-hsb

Name: whisper-large-v3-turbo-hsb
Availability: InStock

safetensors

whisper

upper_sorbian

automatic-speech-recognition

openai/whisper-large-v3-turbo

finetune

agpl-3.0

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Model Description

This model was fine-tuned on over 24 hours of transcribed upper sorbian speech to aid future research, conservation and revitalisation of the language.

Training Data

Source: Stiftung für das sorbische Volk / Załožba za serbski lud (https://stiftung.sorben.com/)
Volume: 1493 Minutes, 10% Validation Set, 10% Test Set

Training Details

Hyperparameters:
- Batch size: 64
- Learning rate: 3e-6, linear decay
Optimizer: AdamW
Warmup: 1000 steps
Additional Techniques: BF16 training, initial 15 layers frozen

Performance

Metrics

Word Error Rate: 6.2

Usage

Example Code

To use the model, follow this example code:

python

import torch
import torchaudio
from transformers import WhisperProcessor, WhisperForConditionalGeneration

# Load the model and processor
model_name = "DILHTWD/whisper-large-v3-turbo-hsb"
processor_name = "openai/whisper-large-v3-turbo"
processor = WhisperProcessor.from_pretrained(processor_name)
model = WhisperForConditionalGeneration.from_pretrained(model_name)

# Load and preprocess the audio
audio, sample_rate = torchaudio.load("test.mp3")
if sample_rate != 16000:
    audio = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=16000)(audio)
input_features = processor(audio.squeeze().numpy(), sampling_rate=16000, return_tensors="pt").input_features

# Generate transcription
with torch.no_grad():
    predicted_ids = model.generate(input_features)
    transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]

# Print the transcription
print("Transcription:", transcription)

Model Details

Model Name: DILHTWD/whisper-large-v3-turbo-hsb
Publisher: Data Intelligence Lab, Hochschule für Technik und Wirtschaft Dresden
Model Version: 1.0.0
Model Date: 2024-11-15
License: AGPL-3.0
Architecture: Whisper Large v3 Turbo
Task: Automatic Speech Recognition