voip_classification – AI Model by james-xie-rng | AlphaNeural AI

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james-xie-rng/
voip_classification

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audio-classification

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voip_classification

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

Loss: nan
Accuracy: 0.0099

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
1.6603	0.99	41	nan	0.0099
0.0	1.99	82	nan	0.0099
0.0	2.98	123	nan	0.0099
0.0	4.0	165	nan	0.0099
0.0	4.99	206	nan	0.0099
0.0	5.99	247	nan	0.0099
0.0	6.98	288	nan	0.0099
0.0	8.0	330	nan	0.0099
0.0	8.99	371	nan	0.0099
0.0	9.94	410	nan	0.0099

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3