metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
model-index:
  - name: whisper-tiny-kor-16k-hf-ep1
    results: []

whisper-tiny-kor-16k-hf-ep1

This model is a fine-tuned version of openai/whisper-tiny on the None 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: 5e-05
train_batch_size: 128
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
No log	1.0	126	0.4488	254.5585

Framework versions

Transformers 4.36.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0