---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- timit_asr
model-index:
- name: wav2vec2-base-timit-demo-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-colab

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the timit_asr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4243
- Wer: 0.2830

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.5112        | 3.45  | 500  | 1.1699          | 0.8236 |
| 0.5349        | 6.9   | 1000 | 0.3911          | 0.3609 |
| 0.1875        | 10.34 | 1500 | 0.3993          | 0.3170 |
| 0.1113        | 13.79 | 2000 | 0.3870          | 0.3046 |
| 0.0778        | 17.24 | 2500 | 0.4056          | 0.2963 |
| 0.0561        | 20.69 | 3000 | 0.3781          | 0.2918 |
| 0.0461        | 24.14 | 3500 | 0.4186          | 0.2857 |
| 0.0375        | 27.59 | 4000 | 0.4243          | 0.2830 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.0
- Datasets 2.4.0
- Tokenizers 0.12.1