---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: wav2musicgenre
  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. -->

# wav2musicgenre

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: 1.4377
- Accuracy: 0.5175

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8985        | 0.99  | 70   | 1.9125          | 0.3493   |
| 1.7093        | 1.99  | 141  | 1.6999          | 0.4356   |
| 1.6057        | 3.0   | 212  | 1.6076          | 0.4683   |
| 1.5392        | 4.0   | 283  | 1.5730          | 0.4958   |
| 1.5228        | 4.99  | 353  | 1.4994          | 0.5029   |
| 1.4261        | 5.99  | 424  | 1.4647          | 0.5131   |
| 1.3901        | 7.0   | 495  | 1.4556          | 0.5126   |
| 1.3677        | 8.0   | 566  | 1.4461          | 0.5175   |
| 1.3309        | 8.99  | 636  | 1.4430          | 0.5153   |
| 1.3152        | 9.89  | 700  | 1.4377          | 0.5175   |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2