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--- |
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language: |
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- dv |
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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_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Dv - Ruhullah Shaikh |
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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 13 |
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type: mozilla-foundation/common_voice_13_0 |
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config: dv |
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split: test |
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args: dv |
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metrics: |
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- name: Wer |
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type: wer |
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value: 10.97645790590117 |
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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 Dv - Ruhullah Shaikh |
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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 13 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3049 |
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- Wer Ortho: 57.3995 |
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- Wer: 10.9765 |
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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: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 50 |
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- training_steps: 4000 |
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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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| 0.1224 | 1.6313 | 500 | 0.1725 | 63.0197 | 13.4872 | |
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| 0.0448 | 3.2626 | 1000 | 0.1690 | 58.1378 | 11.5189 | |
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| 0.0297 | 4.8940 | 1500 | 0.1814 | 60.0251 | 11.5450 | |
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| 0.006 | 6.5253 | 2000 | 0.2352 | 58.2701 | 11.3503 | |
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| 0.0018 | 8.1566 | 2500 | 0.2639 | 58.3676 | 11.1364 | |
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| 0.0008 | 9.7879 | 3000 | 0.2888 | 57.7686 | 11.0738 | |
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| 0.0002 | 11.4192 | 3500 | 0.3015 | 57.3369 | 10.9938 | |
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| 0.0002 | 13.0506 | 4000 | 0.3049 | 57.3995 | 10.9765 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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