---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-mr
  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. -->

# wav2vec2-large-xls-r-300m-mr

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: 0.5479
- Wer: 0.5740

## 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    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.7378        | 18.18  | 400  | 3.5047          | 1.0    |
| 3.1707        | 36.36  | 800  | 2.6166          | 0.9912 |
| 1.4942        | 54.55  | 1200 | 0.5778          | 0.6927 |
| 1.2058        | 72.73  | 1600 | 0.5168          | 0.6362 |
| 1.0558        | 90.91  | 2000 | 0.5105          | 0.6069 |
| 0.9488        | 109.09 | 2400 | 0.5151          | 0.6089 |
| 0.8588        | 127.27 | 2800 | 0.5157          | 0.5989 |
| 0.7991        | 145.45 | 3200 | 0.5179          | 0.5740 |
| 0.7545        | 163.64 | 3600 | 0.5348          | 0.5740 |
| 0.7144        | 181.82 | 4000 | 0.5518          | 0.5724 |
| 0.7041        | 200.0  | 4400 | 0.5479          | 0.5740 |


### Framework versions

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