---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: my_awesome_mind_model
  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. -->

# my_awesome_mind_model

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6753
- Accuracy: 0.5818

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.678         | 0.99  | 39   | 0.6803          | 0.5730   |
| 0.6698        | 1.99  | 78   | 0.6785          | 0.5810   |
| 0.6622        | 2.99  | 117  | 0.6848          | 0.5746   |
| 0.6636        | 3.99  | 156  | 0.6748          | 0.5866   |
| 0.6464        | 4.99  | 195  | 0.6844          | 0.5650   |
| 0.6508        | 5.99  | 234  | 0.6758          | 0.5738   |
| 0.6385        | 6.99  | 273  | 0.6728          | 0.5738   |
| 0.6317        | 7.99  | 312  | 0.6737          | 0.5690   |
| 0.6279        | 8.99  | 351  | 0.6784          | 0.5722   |
| 0.6273        | 9.99  | 390  | 0.6753          | 0.5818   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2