---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: tachiwin_totonac
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: audiofolder
      type: audiofolder
      config: ljcamargo--totonac_alpha_1
      split: test
      args: ljcamargo--totonac_alpha_1
    metrics:
    - name: Wer
      type: wer
      value: 0.689873417721519
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tachiwin_totonac

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1224
- Wer: 0.6899

## 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: 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: 500
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.1063        | 5.19  | 200  | 2.9834          | 1.0    |
| 2.9016        | 10.39 | 400  | 2.4405          | 0.9959 |
| 1.7606        | 15.58 | 600  | 1.1942          | 0.8532 |
| 1.0549        | 20.78 | 800  | 1.1132          | 0.7788 |
| 0.7553        | 25.97 | 1000 | 1.1224          | 0.6899 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3