---
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