kimupachipachi/whisper-medium-ja

Whisper Small Ja - Haruto Kimura

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.9052
• Wer: 4750.0

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: 5
• training_steps: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	10.0	10	1.3778	370.0
No log	20.0	20	0.9597	1800.0
1.2408	30.0	30	0.9199	2020.0
1.2408	40.0	40	0.9052	4750.0

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3