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

# lyrics_detect

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: 0.6254
- Accuracy: 0.6

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 128
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.9956 | 7    | 0.6137          | 0.71     |
| 0.6734        | 1.9911 | 14   | 0.5822          | 0.71     |
| 0.6594        | 2.9867 | 21   | 0.6136          | 0.72     |
| 0.6594        | 3.9822 | 28   | 0.6369          | 0.72     |
| 0.6299        | 4.9778 | 35   | 0.6399          | 0.62     |
| 0.6204        | 5.9733 | 42   | 0.6647          | 0.56     |
| 0.6204        | 6.9689 | 49   | 0.6278          | 0.66     |
| 0.6156        | 7.9644 | 56   | 0.6578          | 0.67     |
| 0.6261        | 8.96   | 63   | 0.6107          | 0.65     |
| 0.5914        | 9.9556 | 70   | 0.6254          | 0.6      |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1