---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab9
  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-colab9

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: 3.1922
- 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: 0.0001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---:|
| 5.0683        | 1.42  | 500   | 3.2471          | 1.0 |
| 3.1349        | 2.85  | 1000  | 3.2219          | 1.0 |
| 3.1317        | 4.27  | 1500  | 3.2090          | 1.0 |
| 3.1262        | 5.7   | 2000  | 3.2152          | 1.0 |
| 3.1307        | 7.12  | 2500  | 3.2147          | 1.0 |
| 3.1264        | 8.55  | 3000  | 3.2072          | 1.0 |
| 3.1279        | 9.97  | 3500  | 3.2158          | 1.0 |
| 3.1287        | 11.4  | 4000  | 3.2190          | 1.0 |
| 3.1256        | 12.82 | 4500  | 3.2069          | 1.0 |
| 3.1254        | 14.25 | 5000  | 3.2134          | 1.0 |
| 3.1259        | 15.67 | 5500  | 3.2231          | 1.0 |
| 3.1269        | 17.09 | 6000  | 3.2005          | 1.0 |
| 3.1279        | 18.52 | 6500  | 3.1988          | 1.0 |
| 3.1246        | 19.94 | 7000  | 3.1929          | 1.0 |
| 3.128         | 21.37 | 7500  | 3.1864          | 1.0 |
| 3.1245        | 22.79 | 8000  | 3.1868          | 1.0 |
| 3.1266        | 24.22 | 8500  | 3.1852          | 1.0 |
| 3.1239        | 25.64 | 9000  | 3.1855          | 1.0 |
| 3.125         | 27.07 | 9500  | 3.1917          | 1.0 |
| 3.1233        | 28.49 | 10000 | 3.1929          | 1.0 |
| 3.1229        | 29.91 | 10500 | 3.1922          | 1.0 |


### Framework versions

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