whisper-base-with-motor_zh_v2 – AI Model by ZhihCheng | AlphaNeural AI

You can deploy this model and start earning money today!

ZhihCheng/
whisper-base-with-motor_zh_v2

like

0

automatic-speech-recognition

generated_from_trainer

ZhihCheng/whisper-base-zh

endpoints_compatible

Views

No views yet

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