BA_Model_V3
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README.md
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: BA_Model_V3
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results: []
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# BA_Model_V3
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
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## Model description
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.1
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base_model: openai/whisper-large-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: BA_Model_V3
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results: []
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# BA_Model_V3
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5502
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- Wer: 24.6079
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- Cer: 13.4358
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## Model description
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- num_epochs: 15
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 0.3329 | 1.0 | 278 | 0.3232 | 21.6707 | 12.0794 |
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| 0.2364 | 2.0 | 556 | 0.3756 | 23.9367 | 13.5422 |
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| 0.1902 | 3.0 | 834 | 0.4029 | 38.9055 | 23.2284 |
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| 0.1324 | 4.0 | 1112 | 0.4090 | 24.9568 | 13.9016 |
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| 0.0797 | 5.0 | 1390 | 0.4468 | 28.4789 | 15.9201 |
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| 0.0505 | 6.0 | 1668 | 0.4519 | 26.8873 | 14.9458 |
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| 0.0317 | 7.0 | 1946 | 0.4599 | 32.2435 | 18.9045 |
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| 0.0198 | 8.0 | 2224 | 0.4814 | 25.7675 | 14.1053 |
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| 0.0124 | 9.0 | 2502 | 0.4716 | 26.4620 | 15.1289 |
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| 0.007 | 10.0 | 2780 | 0.5003 | 24.9236 | 13.6666 |
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| 0.0024 | 11.0 | 3058 | 0.5149 | 25.2459 | 14.1990 |
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| 0.0018 | 12.0 | 3336 | 0.5262 | 24.2856 | 13.5232 |
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| 0.0006 | 13.0 | 3614 | 0.5360 | 24.0896 | 13.4676 |
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| 0.0006 | 14.0 | 3892 | 0.5473 | 24.2059 | 13.1781 |
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| 0.0005 | 15.0 | 4170 | 0.5502 | 24.6079 | 13.4358 |
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### Framework versions
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- Transformers 4.38.1
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