Update README.md

README.md

@@ -17,33 +17,20 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-## AIRI UZ jamoasi a'zolari tomonidan qilingan STT ning eng kichik versiyasi. Bu yaxshi versiya emas faqat 15ta epoch o'qitilgan!
-### Azizbek Biyimbetov, Foziljon To'lqinov, Shaxboz Zohidov, Abduraxim Jabborov, Yahyoxon Rahimov
+## Oyqiz jamoasi a'zolari tomonidan qilingan STT ning eng kichik versiyasi. Bu yaxshi versiya emas faqat 15ta epoch o'qitilgan!
+### Foziljon To'lqinov, Shaxboz Zohidov, Abduraxim Jabborov, Yahyoxon Rahimov
 
 
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - UZ dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5763
-- Wer: 0.4502
+Bu model [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) va MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - UZ dataseti bilan 15ta epoxta o'qitilgan.
+O'qitish natijalari:
+- Xatolik: 0.5763
+- So'z xatoligi: 0.4502
 
-## Model description
 
-More information needed
+### O'qitish giperparameterlari
 
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
+O'qitish uchun ishlatilgan giperparameterlar:
 - learning_rate: 0.0003
 - train_batch_size: 4
 - eval_batch_size: 8
@@ -58,19 +45,11 @@ The following hyperparameters were used during training:
 - num_epochs: 15.0
 - mixed_precision_training: Native AMP
 
-### Training results
+### O'qitish natijalari
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+| Xatolik       | Epox  | Qadam | Tasdiq xatoligi | SXD    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
 | 0.4736        | 3.4   | 10000 | 0.6247          | 0.6362 |
 | 0.3392        | 6.8   | 20000 | 0.7254          | 0.5605 |
 | 0.2085        | 10.19 | 30000 | 0.5465          | 0.5097 |
-| 0.1387        | 13.59 | 40000 | 0.5984          | 0.4632 |
-
-
-### Framework versions
-
-- Transformers 4.22.0.dev0
-- Pytorch 1.10.0+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+| 0.1387        | 13.59 | 40000 | 0.5984          | 0.4632 |