| --- |
| library_name: transformers |
| language: |
| - jav |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - SLR41 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Java |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: SLR Javanenese |
| type: SLR41 |
| args: 'config: java, split: train, test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 26.77317840716534 |
| --- |
| |
| <!-- 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 Java |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the SLR Javanenese dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2729 |
| - Wer: 26.7732 |
|
|
| ## 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: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.8934 | 0.3003 | 100 | 0.8003 | 52.4086 | |
| | 0.4852 | 0.6006 | 200 | 0.5305 | 39.4578 | |
| | 0.4111 | 0.9009 | 300 | 0.4214 | 32.8250 | |
| | 0.2101 | 1.2012 | 400 | 0.3655 | 30.4527 | |
| | 0.1803 | 1.5015 | 500 | 0.3257 | 29.1939 | |
| | 0.1845 | 1.8018 | 600 | 0.3072 | 27.4752 | |
| | 0.0899 | 2.1021 | 700 | 0.2997 | 26.4585 | |
| | 0.0816 | 2.4024 | 800 | 0.2850 | 26.3617 | |
| | 0.078 | 2.7027 | 900 | 0.2755 | 26.7248 | |
| | 0.0769 | 3.0030 | 1000 | 0.2729 | 26.7732 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
| |
