metadata

language:
  - ko
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - aihub.or.kr
base_model: cwchoi/whisper_medium_tele
model-index:
  - name: whisper_medium_tele_j04
    results: []

whisper_medium_tele_j04

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

Loss: 0.2685
Cer: 98.1710

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
0.3363	0.2	1000	0.3179	97.6261
0.2821	0.4	2000	0.2957	96.6862
0.2838	0.6	3000	0.2787	96.5971
0.2625	0.8	4000	0.2685	98.1710

Framework versions

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