---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: XLS-R-demo-google-colab-Ezra_William_Prod_3
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_13_0
      type: common_voice_13_0
      config: id
      split: validation
      args: id
    metrics:
    - name: Wer
      type: wer
      value: 1.0
---

<!-- 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. -->

# XLS-R-demo-google-colab-Ezra_William_Prod_3

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3315
- Wer: 1.0

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 5.5808        | 1.0   | 121  | 2.9812          | 1.0 |
| 2.9599        | 2.0   | 242  | 2.9396          | 1.0 |
| 2.9317        | 3.0   | 363  | 2.9082          | 1.0 |
| 2.9194        | 4.0   | 484  | 2.9076          | 1.0 |
| 2.9058        | 5.0   | 605  | 2.8958          | 1.0 |
| 2.8962        | 6.0   | 726  | 2.8816          | 1.0 |
| 2.8732        | 7.0   | 847  | 2.8341          | 1.0 |
| 2.8555        | 8.0   | 968  | 2.6998          | 1.0 |
| 2.7654        | 9.0   | 1089 | 2.4282          | 1.0 |
| 2.4844        | 10.0  | 1210 | 2.3315          | 1.0 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1