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--- |
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library_name: transformers |
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language: |
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- ps |
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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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- mozilla-foundation/common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small - Hanif Rahman |
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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: Common Voice 17.0 |
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type: mozilla-foundation/common_voice_17_0 |
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config: ps |
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split: test |
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args: 'config: ps, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 47.980613893376415 |
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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 - Hanif Rahman |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8094 |
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- Wer Ortho: 51.6855 |
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- Wer: 47.9806 |
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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-05 |
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- train_batch_size: 32 |
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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_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 | Wer Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.6754 | 0.9346 | 100 | 0.6689 | 62.1021 | 58.4888 | |
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| 0.4477 | 1.8692 | 200 | 0.6215 | 57.3134 | 53.5101 | |
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| 0.2243 | 2.8037 | 300 | 0.6222 | 55.8883 | 52.0928 | |
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| 0.0949 | 3.7383 | 400 | 0.6822 | 54.6007 | 49.6989 | |
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| 0.0448 | 4.6729 | 500 | 0.7240 | 53.5301 | 49.4346 | |
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| 0.0201 | 5.6075 | 600 | 0.7355 | 52.7344 | 48.9646 | |
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| 0.0124 | 6.5421 | 700 | 0.7615 | 52.3944 | 48.6929 | |
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| 0.0035 | 7.4766 | 800 | 0.7868 | 51.0778 | 47.2243 | |
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| 0.002 | 8.4112 | 900 | 0.8025 | 51.6276 | 47.6869 | |
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| 0.0011 | 9.3458 | 1000 | 0.8094 | 51.6855 | 47.9806 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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