---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-timit-demo
  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-timit-demo

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: 0.4847
- Wer: 0.3462

## 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: 32
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.487         | 4.0   | 500  | 1.3466          | 1.0153 |
| 0.6134        | 8.0   | 1000 | 0.4807          | 0.4538 |
| 0.2214        | 12.0  | 1500 | 0.4684          | 0.3984 |
| 0.1233        | 16.0  | 2000 | 0.5070          | 0.3779 |
| 0.0847        | 20.0  | 2500 | 0.4965          | 0.3705 |
| 0.0611        | 24.0  | 3000 | 0.4881          | 0.3535 |
| 0.0464        | 28.0  | 3500 | 0.4847          | 0.3462 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.10.3