mg5812/whisper-tiny-zh

Whisper Tiny Zh - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5909
• Wer: 111.3400

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: 16
• 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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7098	0.4	1000	0.6905	106.4733
0.7108	0.81	2000	0.6273	106.5394
0.6124	1.21	3000	0.6009	112.0582
0.5633	1.61	4000	0.5909	111.3400

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3