---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-one-shot-hip-hop-drums-clf
  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. -->

# wav2vec2-base-one-shot-hip-hop-drums-clf

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: 1.5567
- Accuracy: 0.475

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 3    | 1.9203          | 0.4      |
| No log        | 2.0   | 6    | 1.8357          | 0.45     |
| No log        | 3.0   | 9    | 1.7626          | 0.45     |
| 1.8485        | 4.0   | 12   | 1.7037          | 0.425    |
| 1.8485        | 5.0   | 15   | 1.6605          | 0.45     |
| 1.8485        | 6.0   | 18   | 1.6233          | 0.45     |
| 1.5876        | 7.0   | 21   | 1.5963          | 0.475    |
| 1.5876        | 8.0   | 24   | 1.5776          | 0.475    |
| 1.5876        | 9.0   | 27   | 1.5634          | 0.475    |
| 1.491         | 10.0  | 30   | 1.5567          | 0.475    |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1