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

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: 0.4607
- Wer: 0.1903

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0689        | 3.45  | 500  | 0.3667          | 0.1970 |
| 0.0758        | 6.9   | 1000 | 0.4734          | 0.2154 |
| 0.0581        | 10.34 | 1500 | 0.4375          | 0.2179 |
| 0.0468        | 13.79 | 2000 | 0.4866          | 0.2112 |
| 0.0408        | 17.24 | 2500 | 0.5170          | 0.2043 |
| 0.0365        | 20.69 | 3000 | 0.5125          | 0.1987 |
| 0.0323        | 24.14 | 3500 | 0.4754          | 0.2008 |
| 0.0297        | 27.59 | 4000 | 0.4607          | 0.1903 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu102
- Datasets 1.14.0
- Tokenizers 0.10.3