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---
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
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