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

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: 0.5212
- Wer: 0.2998

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.7364        | 3.0   | 2000  | 0.4703          | 0.4503 |
| 0.5673        | 6.01  | 4000  | 0.4585          | 0.3855 |
| 0.5048        | 9.01  | 6000  | 0.4567          | 0.3543 |
| 0.4567        | 12.01 | 8000  | 0.4433          | 0.3473 |
| 0.4194        | 15.02 | 10000 | 0.4491          | 0.3386 |
| 0.3905        | 18.02 | 12000 | 0.4829          | 0.3360 |
| 0.3644        | 21.02 | 14000 | 0.5032          | 0.3306 |
| 0.3441        | 24.02 | 16000 | 0.5242          | 0.3389 |
| 0.2589        | 27.03 | 18000 | 0.5212          | 0.2998 |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1