metadata

library_name: transformers
language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - lazio1900/stt_test
model-index:
  - name: lazio1900/stt_test
    results: []

lazio1900/stt_test

This model is a fine-tuned version of openai/whisper-base on the lazio1900/stt_test 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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch 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: 50
training_steps: 100
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.47.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3