---
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: 0.2463
- Accuracy: 0.9243

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8432        | 1.0   | 123  | 0.7449          | 0.8523   |
| 0.4692        | 2.0   | 246  | 0.4199          | 0.8894   |
| 0.3478        | 3.0   | 369  | 0.3122          | 0.9148   |
| 0.3054        | 4.0   | 492  | 0.2771          | 0.9156   |
| 0.2522        | 5.0   | 615  | 0.2676          | 0.9217   |
| 0.2221        | 6.0   | 738  | 0.2495          | 0.9217   |
| 0.2256        | 7.0   | 861  | 0.2588          | 0.9184   |
| 0.1949        | 8.0   | 984  | 0.2525          | 0.9232   |
| 0.1837        | 9.0   | 1107 | 0.2505          | 0.9237   |
| 0.1644        | 10.0  | 1230 | 0.2463          | 0.9243   |


### Framework versions

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