ZhihCheng/whisper-base-with-motor_zh_v2

Whisper base zh v2

This model is a fine-tuned version of ZhihCheng/whisper-base-zh on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1522
• Wer: 75.0

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
0.241	0.35	50	0.4000	75.0
0.1766	0.71	100	0.3001	75.0
0.1085	1.06	150	0.2594	81.25
0.059	1.42	200	0.2162	81.25
0.0412	1.77	250	0.1789	87.5
0.0347	2.13	300	0.1431	68.75
0.0172	2.48	350	0.1408	68.75
0.0137	2.84	400	0.1408	68.75
0.0081	3.19	450	0.1458	75.0
0.0074	3.55	500	0.1522	75.0

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.2.0a0+6a974be
• Datasets 2.16.1
• Tokenizers 0.15.1