| | --- |
| | language: |
| | - id |
| | license: apache-2.0 |
| | base_model: openai/whisper-base |
| | tags: |
| | - whisper-event |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_9_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper Small Indonesian |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_9_0 id |
| | type: mozilla-foundation/common_voice_9_0 |
| | config: id |
| | split: test |
| | args: id |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 23.40004600874166 |
| | --- |
| | |
| | <!-- 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-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_9_0 id dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3697 |
| | - Wer: 23.4000 |
| | |
| | ## 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: 4 |
| | - eval_batch_size: 2 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | 0.5013 | 0.48 | 1000 | 0.4523 | 28.5990 | |
| | | 0.4145 | 0.97 | 2000 | 0.4067 | 25.8109 | |
| | | 0.2437 | 1.45 | 3000 | 0.3821 | 24.3800 | |
| | | 0.2566 | 1.94 | 4000 | 0.3695 | 23.9798 | |
| | | 0.1161 | 2.42 | 5000 | 0.3697 | 23.4000 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
