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--- |
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base_model: openai/whisper-base |
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language: |
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- en |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Turbo Five 5K - Chee Li |
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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 Turbo Five 5K - Chee Li |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co./openai/whisper-base) on the Google Fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1982 |
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- Wer: 8.3488 |
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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: 8 |
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- seed: 42 |
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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: 600 |
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- training_steps: 5000 |
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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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| 0.0903 | 1.0560 | 1000 | 0.1948 | 9.9042 | |
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| 0.0389 | 2.1119 | 2000 | 0.1943 | 9.3442 | |
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| 0.0212 | 3.1679 | 3000 | 0.1958 | 9.0828 | |
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| 0.0075 | 4.2239 | 4000 | 0.1961 | 8.4626 | |
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| 0.0018 | 5.2798 | 5000 | 0.1982 | 8.3488 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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