metadata

language:
  - ko
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - aihub.or.kr
base_model: openai/whisper-medium
model-index:
  - name: whisper_medium_ptt
    results: []

whisper_medium_ptt

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

Loss: 0.8240
Cer: 100.0

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: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0001	71.43	1000	0.7352	100.0
0.0	142.86	2000	0.7866	100.0
0.0	214.29	3000	0.8135	100.0
0.0	285.71	4000	0.8240	100.0

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.16.0
Tokenizers 0.15.0