metadata
language:
- yue
license: apache-2.0
base_model: poppysmickarlili/whisper-small-cantonese_07-05-2024-2200
tags:
- generated_from_trainer
datasets:
- poppysmickarlili/common_voice_yue
metrics:
- wer
model-index:
- name: Whisper Small Cantanese
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: poppysmickarlili/common_voice_yue
type: poppysmickarlili/common_voice_yue
args: 'config: yue, split: test'
metrics:
- name: Wer
type: wer
value: 0.017123287671232876
Whisper Small Cantanese
This model is a fine-tuned version of poppysmickarlili/whisper-small-cantonese_07-05-2024-2200 on the poppysmickarlili/common_voice_yue dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0171
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0039 | 2.7816 | 1000 | 0.0040 | 1.3699 |
| 0.0006 | 5.5633 | 2000 | 0.0001 | 0.0514 |
| 0.0001 | 8.3449 | 3000 | 0.0001 | 0.0171 |
| 0.0 | 11.1377 | 4000 | 0.0000 | 0.0171 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1