This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 ja dataset. It achieves the following results on the evaluation set:

Loss: 0.2165
Wer: 62.6897

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: 2
eval_batch_size: 1
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2264	0.2	1000	0.3102	79.3588
0.3195	0.4	2000	0.2830	78.1955
0.3905	0.6	3000	0.2508	72.9181
0.2478	0.8	4000	0.2407	68.8466
0.0922	1.1	5000	0.2165	62.6897

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

jakeyoo/whisper-medium-ja

Whisper Medium Japanese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jakeyoo/
whisper-medium-ja