metadata
language:
- nan
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
- mozilla-foundation/common_voice_15_0
model-index:
- name: Whisper Small Taiwanese
results: []
Whisper Small Taiwanese
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 and the Common Voice 15.0 datasets. It achieves the following results on the evaluation set:
- Loss: 0.3736
- Cer: 29.5906
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2295 | 1.13 | 3500 | 0.4268 | 32.4577 |
| 0.179 | 1.29 | 4000 | 0.4088 | 32.1109 |
| 0.161 | 1.45 | 4500 | 0.3923 | 30.9241 |
| 0.1607 | 1.61 | 5000 | 0.3840 | 30.1640 |
| 0.1336 | 1.77 | 5500 | 0.3783 | 29.7573 |
| 0.1258 | 1.93 | 6000 | 0.3736 | 29.5906 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2