---
base_model: facebook/wav2vec2-base
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: 241103_wav2vec2_Augmented_Dataset
  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. -->

# 241103_wav2vec2_Augmented_Dataset

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8439
- 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| No log        | 1.0   | 40   | 1.8480          | 1.0 |
| No log        | 2.0   | 80   | 1.8473          | 1.0 |
| No log        | 3.0   | 120  | 1.8458          | 1.0 |
| No log        | 4.0   | 160  | 1.8448          | 1.0 |
| No log        | 5.0   | 200  | 1.8447          | 1.0 |
| No log        | 6.0   | 240  | 1.8444          | 1.0 |
| No log        | 7.0   | 280  | 1.8440          | 1.0 |
| No log        | 8.0   | 320  | 1.8439          | 1.0 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1