|
--- |
|
language: |
|
- nan |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_16_1 |
|
model-index: |
|
- name: Whisper Small Taiwanese |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Whisper Small Taiwanese |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Cer: 48.6382 |
|
- Loss: 0.6474 |
|
|
|
## 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_ratio: 0.1 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Cer | Validation Loss | |
|
|:-------------:|:------:|:----:|:-------:|:---------------:| |
|
| 0.9789 | 0.6452 | 1000 | 60.2169 | 0.9021 | |
|
| 0.61 | 1.2903 | 2000 | 53.3884 | 0.7536 | |
|
| 0.5611 | 1.9355 | 3000 | 51.3360 | 0.6703 | |
|
| 0.3359 | 2.5806 | 4000 | 48.6382 | 0.6474 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
