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ViVitTrained-ABAW – AI Model by Sapezb | AlphaNeural AI
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ViVitTrained-ABAW
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transformers
tensorboard
safetensors
vivit
video-classification
generated_from_trainer
google/vivit-b-16x2-kinetics400
finetune
mit
endpoints_compatible
us
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ViVitTrained-ABAW
This model is a fine-tuned version of
google/vivit-b-16x2-kinetics400
on an unknown 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: 0.0002
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
