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---
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: 0.4522
- Wer: 0.3996
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4776 | 0.21 | 1000 | 0.4583 | 0.4044 |
| 0.5074 | 0.42 | 2000 | 0.4614 | 0.4036 |
| 0.5071 | 0.64 | 3000 | 0.4525 | 0.3996 |
| 0.5064 | 0.85 | 4000 | 0.4522 | 0.3996 |
### Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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