metadata

language:
  - kr
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
  - generated_from_trainer
datasets:
  - Jungwonchang/ksponspeech_partial
model-index:
  - name: Whisper large-v2, KsponSpeech Partial 5 epochs
    results: []

Whisper large-v2, KsponSpeech Partial 5 epochs

This model is a fine-tuned version of openai/whisper-large-v2 on the KsponSpeech dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0150
eval_wer: 25.4322
eval_runtime: 1298.665
eval_samples_per_second: 0.689
eval_steps_per_second: 0.689
epoch: 5.07
step: 300

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: 1
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: 50
training_steps: 300

Framework versions

Transformers 4.31.0
Pytorch 1.12.1+cu116
Datasets 2.14.0
Tokenizers 0.12.1