| | --- |
| | 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 |
| | |
