metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: xmzhu/whisper-tiny-zh
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_11_0
          type: common_voice_11_0
          config: zh-TW
          split: test
          args: zh-TW
        metrics:
          - name: Wer
            type: wer
            value: 71.91402251791197

xmzhu/whisper-tiny-zh

This model is a fine-tuned version of xmzhu/whisper-tiny-zh on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.6177
Wer: 71.9140

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: 64
eval_batch_size: 32
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	Wer
0.1221	6.02	1000	0.4879	68.8434
0.0119	13.02	2000	0.5567	70.2354
0.004	20.01	3000	0.5890	70.6244
0.0027	27.0	4000	0.6128	72.4053
0.0021	33.02	5000	0.6177	71.9140

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2