---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ft_wav2vec2_base_thirty
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ft_wav2vec2_base_thirty

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6535
- Wer: 32.0197
- Cer: 14.4551

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 2700

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 4.2536        | 1.75  | 500  | 3.0201          | 99.9919 | 99.8547 |
| 2.7796        | 3.51  | 1000 | 1.8276          | 90.7584 | 46.9070 |
| 0.9842        | 5.26  | 1500 | 0.7994          | 43.5201 | 19.4787 |
| 0.595         | 7.02  | 2000 | 0.7414          | 37.7699 | 17.0733 |
| 0.4215        | 8.77  | 2500 | 0.6535          | 32.0197 | 14.4551 |


### Framework versions

- Transformers 4.39.3
- Pytorch 1.12.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2