metadata

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

wav2vec2-48KHz-audioset-natual-sounds

This model is a fine-tuned version of 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