---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: dys_asr_rub
  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. -->

# dys_asr_rub

This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0257
- Wer: 0.9875

## 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: 0.0001
- train_batch_size: 8
- 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 12.3902       | 0.79  | 500  | 4.0453          | 1.0    |
| 1.8958        | 1.58  | 1000 | 0.4618          | 1.2804 |
| 0.3581        | 2.37  | 1500 | 0.1455          | 1.0498 |
| 0.1861        | 3.16  | 2000 | 0.1212          | 1.0156 |
| 0.108         | 3.95  | 2500 | 0.0211          | 0.9969 |
| 0.0719        | 4.74  | 3000 | 0.0574          | 0.9875 |
| 0.0768        | 5.53  | 3500 | 0.0313          | 0.9907 |
| 0.0547        | 6.32  | 4000 | 0.0257          | 0.9875 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2