「アリシア」という単語を学習させたモデル。

whisper-tiny-ja-alicia

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5542
• 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
0.0311	3.33	10	0.3741	85.7143
0.0012	6.67	20	0.4759	85.7143
0.0001	10.0	30	0.5351	85.7143
0.0	13.33	40	0.5542	85.7143

Framework versions

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