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_test
  results: []
---

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# wav2vec2_test

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: 91.1661
- Wer: 0.5714

## 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: 8
- 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: 100
- num_epochs: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 11.9459       | 100.0  | 100  | 46.9901         | 1.0    |
| 3.2175        | 200.0  | 200  | 73.0950         | 1.0    |
| 1.8117        | 300.0  | 300  | 78.4884         | 0.6735 |
| 1.3694        | 400.0  | 400  | 84.0168         | 0.6327 |
| 1.1392        | 500.0  | 500  | 85.2083         | 0.5918 |
| 0.979         | 600.0  | 600  | 88.9109         | 0.5918 |
| 0.8917        | 700.0  | 700  | 89.0310         | 0.5918 |
| 0.8265        | 800.0  | 800  | 90.0659         | 0.6122 |
| 0.769         | 900.0  | 900  | 91.8476         | 0.5714 |
| 0.7389        | 1000.0 | 1000 | 91.1661         | 0.5714 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2
- Datasets 1.18.3
- Tokenizers 0.11.6
