metadata

language:
  - hinghwa
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - lw2333/Hinghwa_local
model-index:
  - name: Whisper Small Hinghwa - lw2333
    results: []

Whisper Small Hinghwa - lw2333

This model is a fine-tuned version of openai/whisper-small on the Hinghwa_voice 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000

Framework versions

Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3