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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# base

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: 1.7496
- Wer: 45.8524
- Cer: 23.3228

## 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: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 3.3189        | 18.52 | 1000 | 1.3203          | 61.7505 | 28.6087 |
| 0.4697        | 37.04 | 2000 | 1.3792          | 48.5805 | 24.3342 |
| 0.1681        | 55.56 | 3000 | 1.4859          | 47.0433 | 23.6677 |
| 0.0913        | 74.07 | 4000 | 1.6549          | 46.4617 | 23.4416 |
| 0.0598        | 92.59 | 5000 | 1.7496          | 45.8524 | 23.3228 |


### Framework versions

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