---
license: cc0-1.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
  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. -->

# 

This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1321
- Wer: 0.1115

## 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: 7.5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.9099        | 10.42 | 1000 | 2.8369          | 1.0    |
| 1.0745        | 20.83 | 2000 | 0.1957          | 0.1673 |
| 0.934         | 31.25 | 3000 | 0.1579          | 0.1389 |
| 0.8691        | 41.66 | 4000 | 0.1457          | 0.1290 |
| 0.8328        | 52.08 | 5000 | 0.1435          | 0.1205 |
| 0.8068        | 62.5  | 6000 | 0.1350          | 0.1191 |
| 0.7822        | 72.91 | 7000 | 0.1347          | 0.1155 |
| 0.7769        | 83.33 | 8000 | 0.1321          | 0.1131 |
| 0.7678        | 93.75 | 9000 | 0.1321          | 0.1115 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 2.2.2
- Tokenizers 0.11.0