| --- |
| library_name: transformers |
| language: |
| - jv |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - whisper |
| - javanese |
| - asr |
| - generated_from_trainer |
| datasets: |
| - jv_id_asr_split |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny Java |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: jv_id_asr_split |
| type: jv_id_asr_split |
| config: jv_id_asr_source |
| split: validation |
| args: jv_id_asr_source |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.6624243173112566 |
| --- |
| |
| <!-- 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 Tiny Java |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the jv_id_asr_split dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0129 |
| - Wer: 0.6624 |
| |
| ## 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: 64 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 128 |
| - 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: 30 |
| - training_steps: 150 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 3.1804 | 0.4110 | 30 | 1.8947 | 0.8897 | |
| | 1.5393 | 0.8219 | 60 | 1.2656 | 0.7560 | |
| | 1.1714 | 1.2329 | 90 | 1.1013 | 0.7068 | |
| | 1.0264 | 1.6438 | 120 | 1.0346 | 0.6828 | |
| | 0.9896 | 2.0548 | 150 | 1.0129 | 0.6624 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.50.0.dev0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
| |
