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-commonvoice-demo-colab-2
  results: []
---

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# wav2vec2-base-commonvoice-demo-colab-2

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: nan
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 4.7784        | 2.58  | 500  | 2.9962          | 1.0 |
| 3.0067        | 5.15  | 1000 | 3.0303          | 1.0 |
| 3.0098        | 7.73  | 1500 | 3.0305          | 1.0 |
| 3.0015        | 10.31 | 2000 | 3.0308          | 1.0 |
| 3.0062        | 12.89 | 2500 | 3.0310          | 1.0 |
| 3.0074        | 15.46 | 3000 | 3.0311          | 1.0 |
| 3.0085        | 18.04 | 3500 | 3.0313          | 1.0 |
| 3.0046        | 20.62 | 4000 | 3.0314          | 1.0 |
| 3.0065        | 23.2  | 4500 | nan             | 1.0 |
| 0.0           | 25.77 | 5000 | nan             | 1.0 |
| 0.0           | 28.35 | 5500 | nan             | 1.0 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
