---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: addison6
  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. -->

# addison6

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: 1.5365
- Wer: 0.5065

## 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: 8
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.4213        | 3.5   | 500  | 2.9159          | 1.0    |
| 1.7942        | 6.99  | 1000 | 1.3946          | 0.7460 |
| 0.9148        | 10.49 | 1500 | 1.3088          | 0.6273 |
| 0.6178        | 13.99 | 2000 | 1.3045          | 0.5690 |
| 0.4443        | 17.48 | 2500 | 1.3874          | 0.5437 |
| 0.3461        | 20.98 | 3000 | 1.4667          | 0.5427 |
| 0.253         | 24.48 | 3500 | 1.5080          | 0.5189 |
| 0.2103        | 27.97 | 4000 | 1.5365          | 0.5065 |


### Framework versions

- Transformers 4.17.0
- Pytorch 2.0.0+cu118
- Datasets 1.18.3
- Tokenizers 0.13.2