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--- |
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library_name: transformers |
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language: |
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- uz |
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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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- automatic-speech-recognition |
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- whisper |
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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 Uzbek |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: 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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args: 'config: uz, split: test' |
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metrics: |
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- type: wer |
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value: 35.8660 |
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name: Wer |
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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 Uzbek |
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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: 0.3776 |
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- Wer: 35.8660 |
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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: 16 |
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- eval_batch_size: 16 |
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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_steps: 1500 |
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- training_steps: 5500 |
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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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| 0.913 | 0.2 | 500 | 0.8213 | 62.5843 | |
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| 0.6404 | 0.4 | 1000 | 0.6082 | 51.8716 | |
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| 0.5734 | 0.6 | 1500 | 0.5458 | 48.0513 | |
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| 0.5051 | 0.8 | 2000 | 0.4846 | 43.8649 | |
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| 0.4407 | 1.0 | 2500 | 0.4483 | 41.3901 | |
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| 0.3436 | 1.2 | 3000 | 0.4321 | 41.0277 | |
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| 0.3092 | 1.4 | 3500 | 0.4184 | 40.1141 | |
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| 0.2861 | 1.6 | 4000 | 0.4091 | 39.9753 | |
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| 0.289 | 1.8 | 4500 | 0.3811 | 36.7950 | |
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| 0.2816 | 2.0 | 5000 | 0.3730 | 36.7102 | |
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| 0.1547 | 2.2 | 5500 | 0.3776 | 35.8660 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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