---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-ur-cv8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-xls-r-300m-ur-cv8

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1443
- Wer: 0.5677

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.6269        | 15.98  | 400  | 3.3246          | 1.0    |
| 3.0546        | 31.98  | 800  | 2.8148          | 0.9963 |
| 1.4589        | 47.98  | 1200 | 1.0237          | 0.6584 |
| 1.0911        | 63.98  | 1600 | 0.9524          | 0.5966 |
| 0.8879        | 79.98  | 2000 | 0.9827          | 0.5822 |
| 0.7467        | 95.98  | 2400 | 0.9923          | 0.5840 |
| 0.6427        | 111.98 | 2800 | 0.9988          | 0.5714 |
| 0.5685        | 127.98 | 3200 | 1.0872          | 0.5807 |
| 0.5068        | 143.98 | 3600 | 1.1194          | 0.5822 |
| 0.463         | 159.98 | 4000 | 1.1138          | 0.5692 |
| 0.4212        | 175.98 | 4400 | 1.1232          | 0.5714 |
| 0.4056        | 191.98 | 4800 | 1.1443          | 0.5677 |


### Framework versions

- Transformers 4.16.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.1
- Tokenizers 0.11.0