---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: dys_asr_10min_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_10min_rub

This model is a fine-tuned version of [Splend1dchan/wav2vec2-large-10min-lv60-self](https://huggingface.co/Splend1dchan/wav2vec2-large-10min-lv60-self) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0359
- Wer: 0.9969

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 12.8427       | 0.79  | 500  | 2.4894          | 1.0    |
| 1.4059        | 1.58  | 1000 | 0.2969          | 1.1495 |
| 0.425         | 2.37  | 1500 | 0.1267          | 1.0623 |
| 0.2377        | 3.16  | 2000 | 0.0781          | 1.0374 |
| 0.1148        | 3.95  | 2500 | 0.0393          | 1.0062 |
| 0.1136        | 4.74  | 3000 | 0.0432          | 1.0031 |
| 0.0987        | 5.53  | 3500 | 0.0411          | 0.9969 |
| 0.0746        | 6.32  | 4000 | 0.0359          | 0.9969 |


### Framework versions

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