KikiAtHome
/

whisper-base-my-korean-special-data-final

Automatic Speech Recognition

Generated from Trainer

Model card Files Files and versions

Metrics Training metrics Community

whisper-base-my-korean-special-data-final

This model is a fine-tuned version of openai/whisper-base 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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 50
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 2.14.5
Tokenizers 0.22.1

Downloads last month: 5

Safetensors

Model size

72.6M params

Tensor type

F32

·

Model tree for KikiAtHome/whisper-base-my-korean-special-data-final

Base model

openai/whisper-base

Finetuned

(714)

this model