---
base_model: bilalhsp/wav2vec2-base-audioset-natural-sounds
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: wav2vec2-48KHz-audioset-natual-sounds
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-48KHz-audioset-natual-sounds

This model is a fine-tuned version of [bilalhsp/wav2vec2-base-audioset-natural-sounds](https://huggingface.co/bilalhsp/wav2vec2-base-audioset-natural-sounds) on the generator dataset.

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1