uzbek_stt_4_version

oyqiz/uzbek_stt_4_version

uzbek_stt_4_version is a automatic speech recognition model from oyqiz. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

7% of all-time downloads

All-time downloads

210

Public

Repo size

6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin378 MB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Sep 22, 2022
Updated: Dec 24, 2022
SHA: ff04b010

Datasets

common_voice_10_0

Model card

From the Hugging Face model README

O'zbekcha Speech To Text 4-versiyasi

Bu modelimiz facebook/wav2vec2-base va MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - ning O'zbekcha dataseti bilan o'qitildi. Model 100ta epoxda o'qitildi. O'qitish jarayonida quyidagi natijalarga erishildi:

Xatolik: 0.7755
So'zning xatolik darajasi: 0.3976

O'qitish uchun belgilangan giperparameterlar

Quyidagi giperparameterlar o'qitish uchun ishlatildi:

learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
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: 100.0
mixed_precision_training: Native AMP

O'qitish natijalari

Xatolik	Epox	Qadam	Tasdiq xatoligi	SXD
0.1532	13.59	20000	0.6070	0.4822
0.099	27.17	40000	0.6438	0.4461
0.0769	40.76	60000	0.6889	0.4343
0.0622	54.35	80000	0.7638	0.4181
0.0561	67.93	100000	0.7523	0.4081
0.0454	81.52	120000	0.7569	0.4006
0.0378	95.11	140000	0.7702	0.3989

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Languages: uz
Created: Sep 22, 2022
Updated: Dec 24, 2022