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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-v2 |
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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 V3 - Jamshid Ahmadov |
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results: [] |
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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 V3 - Jamshid Ahmadov |
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This model is a fine-tuned version of [jamshidahmadov/whisper-uz-v2](https://huggingface.co/jamshidahmadov/whisper-uz-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1568 |
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- Wer: 16.6718 |
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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: 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: 2500 |
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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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| 0.2166 | 0.5333 | 500 | 0.2338 | 22.8910 | |
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| 0.1257 | 1.0661 | 1000 | 0.1892 | 18.7192 | |
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| 0.1153 | 1.5995 | 1500 | 0.1673 | 17.1644 | |
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| 0.0672 | 2.1323 | 2000 | 0.1603 | 17.1644 | |
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| 0.0663 | 2.6656 | 2500 | 0.1568 | 16.6718 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.4.0 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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