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: wav2vec2-4
  results: []
---

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# wav2vec2-4

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: 3.1442
- 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: 400
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 5.1303        | 1.37  | 200  | 3.2783          | 1.0 |
| 2.8798        | 2.74  | 400  | 3.1233          | 1.0 |
| 2.8586        | 4.11  | 600  | 3.1612          | 1.0 |
| 2.8613        | 5.48  | 800  | 3.1354          | 1.0 |
| 2.8588        | 6.85  | 1000 | 3.2634          | 1.0 |
| 2.8572        | 8.22  | 1200 | 3.0905          | 1.0 |
| 2.8573        | 9.59  | 1400 | 3.2315          | 1.0 |
| 2.8532        | 10.96 | 1600 | 3.0999          | 1.0 |
| 2.8567        | 12.33 | 1800 | 3.1496          | 1.0 |
| 2.8556        | 13.7  | 2000 | 3.1081          | 1.0 |
| 2.8551        | 15.07 | 2200 | 3.1139          | 1.0 |
| 2.8545        | 16.44 | 2400 | 3.1621          | 1.0 |
| 2.8547        | 17.81 | 2600 | 3.1124          | 1.0 |
| 2.8551        | 19.18 | 2800 | 3.1612          | 1.0 |
| 2.854         | 20.55 | 3000 | 3.1052          | 1.0 |
| 2.8542        | 21.92 | 3200 | 3.1558          | 1.0 |
| 2.8544        | 23.29 | 3400 | 3.1370          | 1.0 |
| 2.8546        | 24.66 | 3600 | 3.1616          | 1.0 |
| 2.8563        | 26.03 | 3800 | 3.1366          | 1.0 |
| 2.8514        | 27.4  | 4000 | 3.1434          | 1.0 |
| 2.8543        | 28.77 | 4200 | 3.1442          | 1.0 |


### Framework versions

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