Automatic Speech Recognition
Transformers
PyTorch
Uzbek
wav2vec2
mozilla-foundation/common_voice_10_0
Generated from Trainer
Instructions to use oyqiz/uzbek_stt_3_version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oyqiz/uzbek_stt_3_version with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="oyqiz/uzbek_stt_3_version")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("oyqiz/uzbek_stt_3_version") model = AutoModelForCTC.from_pretrained("oyqiz/uzbek_stt_3_version") - Notebooks
- Google Colab
- Kaggle
O'zbekcha Speech To Text 3-versiyasi
Bu modelimiz facebook/wav2vec2-base va MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - ning O'zbekcha dataseti bilan o'qitildi. Model 50ta epoxda o'qitildi. O'qitish jarayonida quyidagi natijalarga erishildi:
- Xatolik: 1.44
- So'zning xatolik darajasi: 0.912
O'qitish uchun belgilangan giperparameterlar
Quyidagi giperparameterlar o'qitish uchun ishlatildi:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50.0
- mixed_precision_training: Native AMP
O'qitish natijalari
Afsuski Checkpointlarni saqlash esimizdan chiqibdi)))
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