pytorch tensorboard wav2vec2 automatic-speech-recognition transformers generated_from_trainer model-index
---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-ru
  results: []
---

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# wav2vec2-ru

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5468
- Wer: 0.4124

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.511         | 0.21  | 1000 | 0.5444          | 0.4183 |
| 0.5021        | 0.43  | 2000 | 0.5727          | 0.4112 |
| 0.4746        | 0.64  | 3000 | 0.5495          | 0.4116 |
| 0.5052        | 0.85  | 4000 | 0.5468          | 0.4124 |


### Framework versions

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