whisper-base-zh

ZhihCheng/whisper-base-zh

whisper-base-zh is a automatic speech recognition model from ZhihCheng. Use it when you need speech turned into text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: whisper
Access: Public
Created: Mar 1, 2024
Updated: Mar 1, 2024
SHA: 6cd73faf

Model card

From the Hugging Face model README

Whisper base ZH

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: 0.2200
Wer: 44.8955

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
0.1704	0.27	1000	0.2787	51.6077
0.1479	0.54	2000	0.2480	48.4124
0.1145	0.81	3000	0.2289	46.1415
0.076	1.08	4000	0.2200	44.8955

Framework versions

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

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
Languages: zh
Created: Mar 1, 2024
Updated: Mar 1, 2024