metadata

library_name: transformers
language:
  - zh
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_16_0
model-index:
  - name: whisper-large-v3-turbo-cantonese-10
    results: []

whisper-large-v3-turbo-cantonese-10

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the mozilla-foundation/common_voice_16_0 dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.0114	10	0.7841	90.9188

Framework versions

Transformers 4.47.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.0.2
Tokenizers 0.20.1