---
language:
- bg
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- 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 [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - BG dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7063
- Wer: 0.5557

## 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: 7e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1200
- num_epochs: 50.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.9554        | 2.61  | 300  | 3.8166          | 1.0    |
| 2.9853        | 5.22  | 600  | 2.9793          | 1.0    |
| 0.6939        | 7.83  | 900  | 0.9723          | 0.9149 |
| 0.352         | 10.43 | 1200 | 0.6556          | 0.7296 |
| 0.2369        | 13.04 | 1500 | 0.6315          | 0.6928 |
| 0.1757        | 15.65 | 1800 | 0.6387          | 0.6724 |
| 0.1517        | 18.26 | 2100 | 0.6607          | 0.6265 |
| 0.1229        | 20.87 | 2400 | 0.6520          | 0.6183 |
| 0.1201        | 23.48 | 2700 | 0.6750          | 0.6116 |
| 0.1076        | 26.09 | 3000 | 0.6698          | 0.6006 |
| 0.1006        | 28.7  | 3300 | 0.6804          | 0.5872 |
| 0.0952        | 31.3  | 3600 | 0.7010          | 0.6003 |
| 0.0894        | 33.91 | 3900 | 0.7069          | 0.5840 |
| 0.0873        | 36.52 | 4200 | 0.6765          | 0.5781 |
| 0.0798        | 39.13 | 4500 | 0.6822          | 0.5617 |
| 0.0767        | 41.74 | 4800 | 0.7003          | 0.5638 |
| 0.0717        | 44.35 | 5100 | 0.6970          | 0.5591 |
| 0.0687        | 46.96 | 5400 | 0.7073          | 0.5603 |
| 0.0669        | 49.57 | 5700 | 0.7060          | 0.5559 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0