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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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base_model: openai/whisper-base |
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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_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base 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_16_0 id |
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type: mozilla-foundation/common_voice_16_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: 26.607783604747446 |
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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 Base Indonesian |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 id dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4198 |
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- Wer: 26.6078 |
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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: 5e-07 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 10000 |
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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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| 0.8238 | 4.01 | 500 | 0.6400 | 37.9750 | |
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| 0.6348 | 9.01 | 1000 | 0.5193 | 32.2477 | |
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| 0.4879 | 14.0 | 1500 | 0.4829 | 30.7250 | |
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| 0.4518 | 19.0 | 2000 | 0.4645 | 29.7037 | |
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| 0.4253 | 23.01 | 2500 | 0.4513 | 28.8757 | |
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| 0.4471 | 28.01 | 3000 | 0.4409 | 28.0937 | |
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| 0.3713 | 33.01 | 3500 | 0.4347 | 27.7854 | |
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| 0.3233 | 38.0 | 4000 | 0.4307 | 27.6382 | |
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| 0.3152 | 43.0 | 4500 | 0.4280 | 27.5324 | |
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| 0.3152 | 47.01 | 5000 | 0.4245 | 27.2196 | |
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| 0.333 | 52.01 | 5500 | 0.4227 | 26.9942 | |
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| 0.257 | 57.0 | 6000 | 0.4217 | 26.9620 | |
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| 0.25 | 62.0 | 6500 | 0.4214 | 26.8148 | |
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| 0.2587 | 66.01 | 7000 | 0.4206 | 26.7550 | |
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| 0.2765 | 71.01 | 7500 | 0.4198 | 26.6998 | |
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| 0.2664 | 76.01 | 8000 | 0.4198 | 26.6216 | |
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| 0.223 | 81.0 | 8500 | 0.4199 | 26.6446 | |
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| 0.2309 | 86.0 | 9000 | 0.4199 | 26.6538 | |
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| 0.233 | 90.01 | 9500 | 0.4198 | 26.6078 | |
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| 0.2647 | 95.01 | 10000 | 0.4198 | 26.6216 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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