whisper-tiny-ja-ex

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

• Loss: 0.7201
• Wer: 85.7143

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: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3657	3.33	10	0.3633	85.7143
0.0092	6.67	20	0.6441	85.7143
0.0002	10.0	30	0.7092	85.7143
0.0001	13.33	40	0.7201	85.7143

Framework versions

• Transformers 4.33.2
• Pytorch 2.1.1+cu118
• Datasets 2.16.1
• Tokenizers 0.13.3