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--- |
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language: |
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- id |
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license: apache-2.0 |
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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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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny 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: mozilla-foundation/common_voice_11_0 id |
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type: mozilla-foundation/common_voice_11_0 |
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config: id |
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split: test |
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args: id |
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metrics: |
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- name: Wer |
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type: wer |
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value: 32.421838974453564 |
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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 Tiny Indonesian |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 id dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6202 |
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- Wer: 32.4218 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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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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- 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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| 0.3823 | 4.95 | 500 | 0.5251 | 33.4732 | |
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| 0.0495 | 9.9 | 1000 | 0.5700 | 33.3902 | |
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| 0.0077 | 14.85 | 1500 | 0.6202 | 32.4218 | |
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| 0.0031 | 19.8 | 2000 | 0.6616 | 32.5371 | |
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| 0.0019 | 24.75 | 2500 | 0.6873 | 32.7954 | |
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| 0.0014 | 29.7 | 3000 | 0.7056 | 33.5700 | |
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| 0.0011 | 34.65 | 3500 | 0.7204 | 33.7960 | |
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| 0.0009 | 39.6 | 4000 | 0.7327 | 33.7729 | |
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| 0.0008 | 44.55 | 4500 | 0.7400 | 33.9113 | |
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| 0.0007 | 49.5 | 5000 | 0.7428 | 33.3441 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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