metadata

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

whisper_small_tele

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

Loss: 0.3165
Cer: 72.2974

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: 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
0.3643	0.56	1000	0.3751	56.4653
0.2418	1.13	2000	0.3346	105.1711
0.214	1.69	3000	0.3191	68.4718
0.1724	2.25	4000	0.3165	72.2974

Framework versions

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