metadata

language:
  - vi
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
base_model: openai/whisper-small
model-index:
  - name: Whisper Small Vietnamese
    results:
      - task:
          type: automatic-speech-recognition
          name: Automatic Speech Recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0 vi
          type: mozilla-foundation/common_voice_11_0
          config: vi
          split: None
        metrics:
          - type: wer
            value: 34.21715788320368
            name: Wer

Whisper Small Vietnamese

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

Loss: 0.9921
Wer: 34.2172

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
0.0002	124.0	1000	0.7998	21.7706
0.0001	249.0	2000	0.8833	28.9690
0.0	374.0	3000	0.9382	30.8206
0.0	499.0	4000	0.9754	34.4363
0.0	624.0	5000	0.9921	34.2172

Framework versions

Transformers 4.25.1
Pytorch 1.13.0
Datasets 2.7.1
Tokenizers 0.13.2