metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
model-index:
  - name: whisper_finetune
    results: []

whisper_finetune

This model is a fine-tuned version of openai/whisper-large-v2 on the aihub_1_15 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-06
train_batch_size: 16
eval_batch_size: 16
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: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.0.dev0
Pytorch 1.14.0a0+410ce96
Datasets 2.16.1
Tokenizers 0.15.1