update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_10_0
+model-index:
+- name: uzbek_stt
+  results: []
+---
+
+<!-- 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. -->
+
+# uzbek_stt
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_10_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5984
+- Wer: 0.4632
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 8
+- 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: 15.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 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