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--- |
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library_name: transformers |
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language: |
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- sun |
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license: apache-2.0 |
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base_model: OwLim/whisper-java-SLR41-SLR35 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- SLR44_Augmented |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Sundanese Java |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: SLR44 Augmented Sundanese |
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type: SLR44_Augmented |
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args: 'split: train/test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.350884764782046 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small Sundanese Java |
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This model is a fine-tuned version of [OwLim/whisper-java-SLR41-SLR35](https://huggingface.co/OwLim/whisper-java-SLR41-SLR35) on the SLR44 Augmented Sundanese dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1298 |
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- Wer: 11.3509 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.5919 | 0.4292 | 100 | 0.2815 | 23.4139 | |
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| 0.395 | 0.8584 | 200 | 0.1782 | 15.8826 | |
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| 0.1788 | 1.2876 | 300 | 0.1554 | 13.0773 | |
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| 0.1654 | 1.7167 | 400 | 0.1445 | 11.4372 | |
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| 0.0581 | 2.1459 | 500 | 0.1337 | 11.5667 | |
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| 0.0572 | 2.5751 | 600 | 0.1335 | 11.6746 | |
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| 0.057 | 3.0043 | 700 | 0.1304 | 11.1135 | |
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| 0.0241 | 3.4335 | 800 | 0.1317 | 11.1135 | |
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| 0.0217 | 3.8627 | 900 | 0.1297 | 11.5019 | |
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| 0.0147 | 4.2918 | 1000 | 0.1298 | 11.3509 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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