| --- |
| library_name: transformers |
| language: |
| - jav |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - SLR41_35 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Java |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: SLR Javanenese 41_35 |
| type: SLR41_35 |
| args: 'config: java, split: train, test' |
| metrics: |
| - type: wer |
| value: 29.24663420223432 |
| name: Wer |
| --- |
| |
| <!-- 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 41_35 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4200 |
| - Wer: 29.2466 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.4922 | 0.16 | 100 | 0.6047 | 37.4678 | |
| | 0.435 | 0.32 | 200 | 0.5572 | 35.9424 | |
| | 0.5688 | 0.48 | 300 | 0.5090 | 33.5649 | |
| | 0.4779 | 0.64 | 400 | 0.4799 | 31.8390 | |
| | 0.4247 | 0.8 | 500 | 0.4540 | 30.8364 | |
| | 0.42 | 0.96 | 600 | 0.4368 | 30.2492 | |
| | 0.2276 | 1.12 | 700 | 0.4330 | 29.6333 | |
| | 0.2137 | 1.28 | 800 | 0.4264 | 29.5832 | |
| | 0.236 | 1.44 | 900 | 0.4215 | 29.2395 | |
| | 0.1971 | 1.6 | 1000 | 0.4200 | 29.2466 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
|
|
