This model is a fine-tuned version of Abdalla312/wav2vec2-base-finetuned-ks on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0003
Accuracy: 0.9999

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0069	1.0	511	0.0376	0.9914
0.0	2.0	1023	0.0003	0.9999
0.0	3.0	1533	0.0006	0.9999

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2