pytorch tensorboard wav2vec2 automatic-speech-recognition transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab-1
  results: []
---

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# wav2vec2-base-timit-demo-colab-1

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: 0.9634
- Wer: 0.4398

## 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: 0.0002
- train_batch_size: 6
- 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: 800
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.8991        | 5.26  | 500  | 1.4319          | 0.7522 |
| 0.8555        | 10.53 | 1000 | 0.7895          | 0.5818 |
| 0.4584        | 15.79 | 1500 | 0.7198          | 0.5211 |
| 0.3096        | 21.05 | 2000 | 0.7983          | 0.5118 |
| 0.2165        | 26.32 | 2500 | 0.7893          | 0.4745 |
| 0.163         | 31.58 | 3000 | 0.8779          | 0.4589 |
| 0.1144        | 36.84 | 3500 | 0.9256          | 0.4540 |
| 0.0886        | 42.11 | 4000 | 0.9184          | 0.4530 |
| 0.0668        | 47.37 | 4500 | 0.9634          | 0.4398 |


### Framework versions

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