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wav2vec2-emotion-recognition – AI Model by Wiggels | AlphaNeural AI

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Wiggels/
wav2vec2-emotion-recognition

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0

audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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Wav2Vec2 Emotion Recognition

This model is a fine-tuned version of facebook/wav2vec2-base on the Emotion dataset 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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0