---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-demo-google-colab
  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-base-timit-demo-google-colab

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: 3.0392
- 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: 0.001
- 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: 400
- num_epochs: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 5.2993        | 8.0   | 200  | 3.0327          | 1.0 |
| 3.0806        | 16.0  | 400  | 3.0476          | 1.0 |
| 3.0219        | 24.0  | 600  | 3.0472          | 1.0 |
| 3.0179        | 32.0  | 800  | 3.0435          | 1.0 |
| 3.0157        | 40.0  | 1000 | 3.0546          | 1.0 |
| 3.0146        | 48.0  | 1200 | 3.0484          | 1.0 |
| 3.0139        | 56.0  | 1400 | 3.0344          | 1.0 |
| 3.0118        | 64.0  | 1600 | 3.0351          | 1.0 |
| 3.0114        | 72.0  | 1800 | 3.0559          | 1.0 |
| 3.0114        | 80.0  | 2000 | 3.0526          | 1.0 |
| 3.0108        | 88.0  | 2200 | 3.0417          | 1.0 |
| 3.0092        | 96.0  | 2400 | 3.0629          | 1.0 |
| 3.0089        | 104.0 | 2600 | 3.0352          | 1.0 |
| 3.0083        | 112.0 | 2800 | 3.0503          | 1.0 |
| 3.0078        | 120.0 | 3000 | 3.0529          | 1.0 |
| 3.0072        | 128.0 | 3200 | 3.0378          | 1.0 |
| 3.0068        | 136.0 | 3400 | 3.0481          | 1.0 |
| 3.0063        | 144.0 | 3600 | 3.0392          | 1.0 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3