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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- yt |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Indonesian |
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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: yt id |
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type: yt |
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metrics: |
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- name: Wer |
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type: wer |
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value: 85.86991764477013 |
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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 Indonesian |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the yt id dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2325 |
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- Wer: 85.8699 |
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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: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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_steps: 500 |
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- training_steps: 5000 |
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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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| 1.6736 | 0.09 | 1000 | 1.4867 | 126.2823 | |
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| 1.3354 | 0.17 | 2000 | 1.3584 | 103.0219 | |
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| 1.4841 | 0.26 | 3000 | 1.2936 | 86.3303 | |
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| 1.2807 | 0.34 | 4000 | 1.2523 | 85.9477 | |
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| 1.2095 | 0.43 | 5000 | 1.2325 | 85.8699 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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