metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: kimbochen/whisper-small-zh-tw
    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: 32.04202832343535

kimbochen/whisper-small-zh-tw

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

Loss: 0.4334
Wer: 32.0420

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: 1200
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0066	2.05	400	0.3743	32.9100
0.0084	5.03	800	0.3787	33.4171
0.0098	8.01	1200	0.3979	33.2481
0.0019	10.06	1600	0.4084	32.3116
0.0008	13.04	2000	0.4334	32.0420

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.7.1.dev0
Tokenizers 0.13.2