|
|
--- |
|
|
language: |
|
|
- id |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- whisper-event |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- mozilla-foundation/common_voice_11_0 |
|
|
- magic_data |
|
|
- titml |
|
|
- google/fleurs |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Whisper Tiny Indonesian |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: mozilla-foundation/common_voice_11_0 id |
|
|
type: mozilla-foundation/common_voice_11_0 |
|
|
config: id |
|
|
split: test |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 18.28368532693904 |
|
|
--- |
|
|
|
|
|
# Whisper Tiny Indonesian |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0, magic_data, titml and google/fleurs dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.2409 |
|
|
- Wer: 18.2837 |
|
|
|
|
|
## 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: 10000 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
|
| 0.4103 | 0.66 | 1000 | 0.3802 | 27.0497 | |
|
|
| 0.2682 | 1.32 | 2000 | 0.3223 | 22.9365 | |
|
|
| 0.2381 | 1.99 | 3000 | 0.2884 | 20.8245 | |
|
|
| 0.1606 | 2.65 | 4000 | 0.2727 | 20.1928 | |
|
|
| 0.1246 | 3.31 | 5000 | 0.2596 | 18.9984 | |
|
|
| 0.1344 | 3.97 | 6000 | 0.2482 | 18.7540 | |
|
|
| 0.0975 | 4.63 | 7000 | 0.2471 | 18.6388 | |
|
|
| 0.0916 | 5.29 | 8000 | 0.2436 | 18.9615 | |
|
|
| 0.0854 | 5.96 | 9000 | 0.2413 | 18.3114 | |
|
|
| 0.0812 | 6.62 | 10000 | 0.2409 | 18.2837 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.26.0.dev0 |
|
|
- Pytorch 1.13.0+cu117 |
|
|
- Datasets 2.7.1.dev0 |
|
|
- Tokenizers 0.13.2 |
|
|
|
