|
--- |
|
language: |
|
- id |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
- magic_data |
|
- TITML |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Medium 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: 3.993359771281011 |
|
--- |
|
|
|
<!-- 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 Medium Indonesian |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0, magic_data, titml id dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0698 |
|
- Wer: 3.9934 |
|
|
|
## 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-06 |
|
- train_batch_size: 16 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.0252 | 0.35 | 1000 | 0.0733 | 4.4822 | |
|
| 0.0222 | 0.7 | 2000 | 0.0698 | 4.3392 | |
|
| 0.0166 | 1.06 | 3000 | 0.0696 | 4.2378 | |
|
| 0.0117 | 1.41 | 4000 | 0.0679 | 4.0810 | |
|
| 0.0295 | 1.76 | 5000 | 0.0671 | 4.0856 | |
|
| 0.0147 | 2.11 | 6000 | 0.0690 | 4.0302 | |
|
| 0.0157 | 2.47 | 7000 | 0.0698 | 3.9934 | |
|
| 0.0113 | 2.82 | 8000 | 0.0698 | 4.0302 | |
|
| 0.0101 | 3.17 | 9000 | 0.0707 | 4.0579 | |
|
| 0.0076 | 3.52 | 10000 | 0.0708 | 4.0625 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
