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: wav2vec2-16
  results: []
---

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# wav2vec2-16

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: 3.1016
- 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: 0.001
- 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: 400
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 3.6682        | 1.37  | 200  | 3.3138          | 1.0 |
| 2.8751        | 2.74  | 400  | 2.9984          | 1.0 |
| 2.8697        | 4.11  | 600  | 3.0827          | 1.0 |
| 2.866         | 5.48  | 800  | 3.0697          | 1.0 |
| 2.8655        | 6.85  | 1000 | 3.1083          | 1.0 |
| 2.8629        | 8.22  | 1200 | 3.0888          | 1.0 |
| 2.8651        | 9.59  | 1400 | 3.2852          | 1.0 |
| 2.8601        | 10.96 | 1600 | 3.1155          | 1.0 |
| 2.8617        | 12.33 | 1800 | 3.1958          | 1.0 |
| 2.8595        | 13.7  | 2000 | 3.1070          | 1.0 |
| 2.858         | 15.07 | 2200 | 3.1483          | 1.0 |
| 2.8564        | 16.44 | 2400 | 3.0906          | 1.0 |
| 2.8561        | 17.81 | 2600 | 3.1412          | 1.0 |
| 2.8574        | 19.18 | 2800 | 3.0783          | 1.0 |
| 2.8543        | 20.55 | 3000 | 3.0624          | 1.0 |
| 2.8549        | 21.92 | 3200 | 3.0914          | 1.0 |
| 2.8556        | 23.29 | 3400 | 3.0735          | 1.0 |
| 2.8557        | 24.66 | 3600 | 3.1791          | 1.0 |
| 2.8576        | 26.03 | 3800 | 3.0645          | 1.0 |
| 2.8528        | 27.4  | 4000 | 3.1190          | 1.0 |
| 2.8551        | 28.77 | 4200 | 3.1016          | 1.0 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
