---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_10_0
model-index:
- name: wav2vec2-large-xls-r-300m-j-phoneme-common-test
  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-j-phoneme-common-test

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_10_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0001

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1488        | 7.14  | 2000  | 0.0788          | 0.0919 |
| 0.0308        | 14.28 | 4000  | 0.0155          | 0.0271 |
| 0.0121        | 21.43 | 6000  | 0.0070          | 0.0103 |
| 0.0067        | 28.57 | 8000  | 0.0059          | 0.0067 |
| 0.0025        | 35.71 | 10000 | 0.0143          | 0.0180 |
| 0.0001        | 42.85 | 12000 | 0.0000          | 0.0001 |
| 0.0           | 50.0  | 14000 | 0.0000          | 0.0001 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1