metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: xmzhu/whisper-small-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: 43.582395087001025

xmzhu/whisper-small-zh

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

Loss: 0.2910
Wer: 43.5824

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
0.0058	6.02	1000	0.2445	43.0911
0.0006	13.02	2000	0.2639	42.9887
0.0003	20.01	3000	0.2787	43.1934
0.0002	27.0	4000	0.2877	43.5415
0.0002	33.02	5000	0.2910	43.5824

Framework versions

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