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lorenzoncina/
whisper-small-zh

Name: whisper-small-zh
Availability: InStock

automatic-speech-recognition

whisper-event

generated_from_trainer

mozilla-foundation/common_voice_11_0

apache-2.0

endpoints_compatible

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Whisper Small Chinese

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 zh-CN dataset. It achieves the following results on the evaluation set:

Loss: 0.3813
Cer: 15.3563

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: 32
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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.481	1.07	1000	0.3443	16.1736
0.2912	3.0	2000	0.3487	16.5213
0.1303	4.07	3000	0.3707	15.3950
0.0997	6.01	4000	0.3813	15.3563
0.0388	7.07	5000	0.3882	15.5099

Framework versions

Transformers 4.28.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.11.1.dev0
Tokenizers 0.13.2

lorenzoncina/whisper-small-zh

Whisper Small Chinese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lorenzoncina/
whisper-small-zh