|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- yt |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Indonesian |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: yt id |
|
type: yt |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 38.03255301212632 |
|
--- |
|
|
|
<!-- 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 Indonesian |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the yt id dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7329 |
|
- Wer: 38.0326 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 12 |
|
- eval_batch_size: 6 |
|
- 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: 5000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.363 | 0.26 | 1000 | 1.3591 | 104.1242 | |
|
| 1.0764 | 0.52 | 2000 | 1.1064 | 92.4000 | |
|
| 0.9416 | 0.77 | 3000 | 0.9073 | 66.9088 | |
|
| 0.4797 | 1.03 | 4000 | 0.7935 | 48.6804 | |
|
| 0.4025 | 1.29 | 5000 | 0.7329 | 38.0326 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
