metadata
language:
- vi
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Medium Vietnamese
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 vi
type: mozilla-foundation/common_voice_11_0
config: vi
split: test
args: vi
metrics:
- name: Wer
type: wer
value: 18.863785917964464
Whisper Medium Vietnamese
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 vi dataset. It achieves the following results on the evaluation set:
- Loss: 0.5686
- Wer: 18.8638
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: 32
- eval_batch_size: 16
- 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: 1400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0063 | 12.01 | 200 | 0.5238 | 19.2915 |
| 0.0046 | 24.01 | 400 | 0.5686 | 18.8638 |
| 0.0067 | 37.01 | 600 | 0.5924 | 20.6076 |
| 0.0004 | 49.01 | 800 | 0.6239 | 19.8070 |
| 0.0005 | 62.01 | 1000 | 0.6354 | 19.7631 |
| 0.0001 | 74.01 | 1200 | 0.6447 | 19.5547 |
| 0.0001 | 87.01 | 1400 | 0.6473 | 19.5547 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2