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--- |
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library_name: transformers |
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language: |
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- id |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- octava/extracted-id-subbed-video-v2 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Id - Inspirasi |
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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: Extracted id video v2 |
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type: octava/extracted-id-subbed-video-v2 |
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config: id |
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split: test |
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args: 'config: id, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 28.173403414112286 |
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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 Id - Inspirasi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Extracted id video v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4480 |
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- Wer: 28.1734 |
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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 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: 500 |
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- training_steps: 5000 |
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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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| 0.2601 | 0.5615 | 1000 | 0.3923 | 29.8060 | |
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| 0.1176 | 1.1230 | 2000 | 0.3954 | 30.3875 | |
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| 0.0848 | 1.6844 | 3000 | 0.4068 | 29.2758 | |
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| 0.0317 | 2.2459 | 4000 | 0.4088 | 26.8850 | |
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| 0.0261 | 2.8074 | 5000 | 0.4480 | 28.1734 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.2.0a0+81ea7a4 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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