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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: jamshidahmadov/whisper-uz |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper base uz - Jamshid Ahmadov |
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results: [] |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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- DavronSherbaev/uzbekvoice |
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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 uz - Jamshid Ahmadov |
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This model is a fine-tuned version of Whisper Base on an Common Voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1652 |
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- Wer: 14.0135 |
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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: 8 |
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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: 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: 500 |
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- training_steps: 2000 |
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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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| 0.0346 | 0.5714 | 500 | 0.1719 | 14.7950 | |
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| 0.0348 | 1.1429 | 1000 | 0.1703 | 14.2490 | |
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| 0.0327 | 1.7143 | 1500 | 0.1672 | 14.1848 | |
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| 0.02 | 2.2857 | 2000 | 0.1652 | 14.0135 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
