| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| 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: 76.37636988522145 |
| --- |
| |
| <!-- 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-tiny](https://huggingface.co/openai/whisper-tiny) on the yt id dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1651 |
| - Wer: 76.3764 |
|
|
| ## 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: 4 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.4295 | 0.17 | 1000 | 1.4094 | 110.1550 | |
| | 1.3042 | 0.34 | 2000 | 1.2886 | 86.2914 | |
| | 1.2212 | 0.52 | 3000 | 1.2206 | 84.1191 | |
| | 1.1306 | 0.69 | 4000 | 1.1814 | 78.1532 | |
| | 1.1333 | 0.86 | 5000 | 1.1651 | 76.3764 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
| |
