result – AI Model by midoiv | AlphaNeural AI

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audio-classification

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endpoints_compatible

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result

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0001
Accuracy: {'accuracy': 1.0}
F1score: {'f1': 1.0}

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1score
0.0164	1.0	490	0.0041	{'accuracy': 0.9994051160023796}	{'f1': 0.9994050913164501}
0.0787	2.0	980	0.0020	{'accuracy': 0.9994051160023796}	{'f1': 0.9994050913164501}
0.0004	3.0	1470	0.0002	{'accuracy': 1.0}	{'f1': 1.0}
0.0003	4.0	1960	0.0002	{'accuracy': 1.0}	{'f1': 1.0}
0.0086	5.0	2450	0.0001	{'accuracy': 1.0}	{'f1': 1.0}

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1