metadata

language:
  - zh
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
base_model: openai/whisper_medium
datasets:
  - thomas0104/nan_tw_soap_opera
model-index:
  - name: jenjenot/whisper_medium_tw_minnan
    results: []

jenjenot/whisper_medium_tw_minnan

This model is a fine-tuned version of openai/whisper_medium on the nan_tw_soap_opera 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 8000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2