End of training
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README.md
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_16_1
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metrics:
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- wer
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model-index:
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- name: Whisper Large v3 Turbo - Bahriddin Muminov
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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 16.1
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type: mozilla-foundation/common_voice_16_1
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config: uz
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split: test
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args: 'config: uz, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 99.63288088608068
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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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# Whisper Large v3 Turbo - Bahriddin Muminov
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3021
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- Wer: 99.6329
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## Model description
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- training_steps: 4000
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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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| 0.4875 | 0.33 | 1000 | 0.4542 | 72.0290 |
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| 0.3835 | 0.66 | 2000 | 0.3775 | 100.0 |
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| 0.3371 | 0.99 | 3000 | 0.3221 | 100.0 |
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| 0.2244 | 1.32 | 4000 | 0.3021 | 99.6329 |
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### Framework versions
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- Transformers 4.37.2
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_16_1
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model-index:
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- name: Whisper Large v3 Turbo - Bahriddin Muminov
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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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# Whisper Large v3 Turbo - Bahriddin Muminov
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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## Model description
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.37.2
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model.safetensors
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training_args.bin
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