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README.md
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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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# O'zbekcha Speech To Text
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Bu modelimiz [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) va MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - ning O'zbekcha dataseti bilan o'qitildi.
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Model
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O'qitish jarayonida quyidagi natijalarga erishildi:
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- Xatolik:
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- So'zning xatolik darajasi: 0.
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### O'qitish uchun belgilangan giperparameterlar
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Quyidagi giperparameterlar o'qitish uchun ishlatildi:
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- learning_rate: 3e-05
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size:
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- total_eval_batch_size: 16
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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: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### O'qitish natijalari
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| 0.1532 | 13.59 | 20000 | 0.6070 | 0.4822 |
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| 0.099 | 27.17 | 40000 | 0.6438 | 0.4461 |
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| 0.0769 | 40.76 | 60000 | 0.6889 | 0.4343 |
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| 0.0622 | 54.35 | 80000 | 0.7638 | 0.4181 |
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| 0.0561 | 67.93 | 100000 | 0.7523 | 0.4081 |
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| 0.0454 | 81.52 | 120000 | 0.7569 | 0.4006 |
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| 0.0378 | 95.11 | 140000 | 0.7702 | 0.3989 |
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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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# O'zbekcha Speech To Text 3-versiyasi
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Bu modelimiz [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) va MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - ning O'zbekcha dataseti bilan o'qitildi.
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Model 50ta epoxda o'qitildi.
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O'qitish jarayonida quyidagi natijalarga erishildi:
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- Xatolik: 1.44
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- So'zning xatolik darajasi: 0.912
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### O'qitish uchun belgilangan giperparameterlar
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Quyidagi giperparameterlar o'qitish uchun ishlatildi:
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- learning_rate: 3e-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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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 16
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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: 500
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- num_epochs: 50.0
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- mixed_precision_training: Native AMP
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### O'qitish natijalari
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Afsuski Checkpointlarni saqlash esimizdan chiqibdi)))
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