---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-base-timit-demo-colab_3

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: 3.1942
- 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: 0.0003
- train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 4.2975        | 3.52  | 500  | 3.1771          | 1.0 |
| 3.1468        | 7.04  | 1000 | 3.1917          | 1.0 |
| 3.147         | 10.56 | 1500 | 3.1784          | 1.0 |
| 3.1467        | 14.08 | 2000 | 3.1850          | 1.0 |
| 3.1446        | 17.61 | 2500 | 3.2022          | 1.0 |
| 3.1445        | 21.13 | 3000 | 3.2196          | 1.0 |
| 3.1445        | 24.65 | 3500 | 3.2003          | 1.0 |
| 3.1443        | 28.17 | 4000 | 3.1942          | 1.0 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3