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--- |
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library_name: transformers |
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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-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- fsicoli/common_voice_15_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Dv - Nuwan |
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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 15 |
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type: fsicoli/common_voice_15_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: 180.6008075744918 |
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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 Dv - Nuwan |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 15 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5094 |
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- Wer Ortho: 446.6778 |
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- Wer: 180.6008 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 500 |
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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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| 0.5345 | 2.9586 | 500 | 0.5094 | 446.6778 | 180.6008 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.22.1 |
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