ZhihCheng/whisper-large-v3_motor_zh_v2

Whisper_largev3_motor_zh

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1577
• Wer: 675.0

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: 4
• 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: 25
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2805	0.0302	100	0.2447	47.4359
0.2094	0.0603	200	0.1964	472.3157
0.1738	0.0905	300	0.1827	424.5192
0.2119	0.1206	400	0.1679	489.3630
0.1629	0.1508	500	0.1577	675.0

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.20.3