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--- |
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base_model: mujadid-syahbana/whisper-small-qur-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: audioclass-whisper-percobaan1 |
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results: [] |
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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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# audioclass-whisper-percobaan1 |
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This model is a fine-tuned version of [mujadid-syahbana/whisper-small-qur-base](https://huggingface.co./mujadid-syahbana/whisper-small-qur-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0711 |
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- Accuracy: 0.9864 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 3.0043 | 1.0 | 124 | 1.8622 | 0.8186 | |
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| 0.8439 | 2.0 | 248 | 0.3895 | 0.9433 | |
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| 0.1972 | 3.0 | 372 | 0.1850 | 0.9637 | |
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| 0.077 | 4.0 | 496 | 0.1139 | 0.9751 | |
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| 0.0289 | 5.0 | 620 | 0.1153 | 0.9773 | |
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| 0.0172 | 6.0 | 744 | 0.0783 | 0.9841 | |
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| 0.0133 | 7.0 | 868 | 0.0711 | 0.9864 | |
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| 0.0116 | 8.0 | 992 | 0.0714 | 0.9841 | |
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| 0.0088 | 9.0 | 1116 | 0.0774 | 0.9819 | |
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| 0.0079 | 10.0 | 1240 | 0.0800 | 0.9819 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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