---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: models
  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. -->

# models

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: 0.0169
- Wer: 0.2673

## 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: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.6087        | 1.26  | 500  | 3.0092          | 1.0    |
| 2.1293        | 2.53  | 1000 | 0.4565          | 0.6872 |
| 0.443         | 3.79  | 1500 | 0.1887          | 0.3995 |
| 0.2368        | 5.05  | 2000 | 0.0564          | 0.3034 |
| 0.1775        | 6.31  | 2500 | 0.0398          | 0.2964 |
| 0.132         | 7.58  | 3000 | 0.0574          | 0.2895 |
| 0.1176        | 8.84  | 3500 | 0.0298          | 0.2749 |
| 0.1023        | 10.1  | 4000 | 0.0243          | 0.2708 |
| 0.0833        | 11.36 | 4500 | 0.0235          | 0.2796 |
| 0.0668        | 12.63 | 5000 | 0.0160          | 0.2714 |
| 0.0559        | 13.89 | 5500 | 0.0264          | 0.2749 |
| 0.0414        | 15.15 | 6000 | 0.0157          | 0.2673 |
| 0.0388        | 16.41 | 6500 | 0.0231          | 0.2772 |
| 0.0313        | 17.68 | 7000 | 0.0168          | 0.2667 |
| 0.0286        | 18.94 | 7500 | 0.0169          | 0.2673 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2