whisper-small-ko-general-1159h

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1691
• Wer: 21.4556

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: 32
• eval_batch_size: 32
• 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: 12322
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0937	0.33	2053	0.2091	29.9076
0.0788	0.67	4106	0.1894	24.9382
0.073	1.0	6159	0.1779	24.5723
0.0499	1.33	8212	0.1759	30.7157
0.051	1.67	10265	0.1711	25.0770
0.0479	2.0	12318	0.1691	21.4556

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.11.0
• Tokenizers 0.13.2