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wav2vec2_ASV – AI Model by Bisher | AlphaNeural AI

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Bisher/
wav2vec2_ASV

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facebook/wav2vec2-base

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wav2vec2_ASV

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

eval_loss: 0.6008
eval_accuracy: 0.8467
eval_runtime: 92.501
eval_samples_per_second: 1.622
eval_steps_per_second: 1.622
epoch: 1.4667
step: 110

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: 1
eval_batch_size: 1
seed: 42
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

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1