---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-ru
  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. -->

# wav2vec2-ru

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4156
- Wer: 0.4230

## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5335        | 0.21  | 1000 | 0.4230          | 0.4262 |
| 0.4925        | 0.42  | 2000 | 0.4101          | 0.4246 |
| 0.5038        | 0.64  | 3000 | 0.4157          | 0.4234 |
| 0.5126        | 0.85  | 4000 | 0.4156          | 0.4230 |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1