---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_batangueno
  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_batangueno

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4998
- Wer: 0.2646

## 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: 6.642954074604246e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.8415        | 2.66  | 500  | 2.7515          | 1.0    |
| 1.7736        | 5.32  | 1000 | 1.1667          | 0.7086 |
| 0.5249        | 7.98  | 1500 | 0.6594          | 0.4936 |
| 0.2863        | 10.64 | 2000 | 0.5026          | 0.3514 |
| 0.2063        | 13.3  | 2500 | 0.4979          | 0.3287 |
| 0.1496        | 15.96 | 3000 | 0.5297          | 0.3298 |
| 0.1135        | 18.62 | 3500 | 0.4943          | 0.3094 |
| 0.0953        | 21.28 | 4000 | 0.5315          | 0.2855 |
| 0.0773        | 23.94 | 4500 | 0.5057          | 0.2844 |
| 0.0617        | 26.6  | 5000 | 0.5041          | 0.2686 |
| 0.0529        | 29.26 | 5500 | 0.4998          | 0.2646 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.14.1