tjddn0402/following-whisper-tutorial

Whisper Small KO

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3779
• Cer: 1.0055
• Wer: 0.9688

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: 100
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
0.2858	5.26	100	0.4512	1.1681	0.9869
0.0058	10.53	200	0.3578	1.0637	0.8610
0.0012	15.79	300	0.3699	0.9535	0.9225
0.0009	21.05	400	0.3759	1.0149	0.9809
0.0008	26.32	500	0.3779	1.0055	0.9688

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1