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vivit-b-16x2-kinetics400-finetuned-cremad – AI Model by Yassmen | AlphaNeural AI
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vivit-b-16x2-kinetics400-finetuned-cremad
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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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vivit-b-16x2-kinetics400-finetuned-cremad
This model is a fine-tuned version of
google/vivit-b-16x2-kinetics400
on CREMA-D dataset. It achieves the following results on the evaluation set:
Loss: 1.1824
Accuracy: 0.6575
F1: 0.6595
Recall: 0.6575
Precision: 0.6676
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: 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
training_steps: 11906
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Recall
Precision
1.54
0.5
5953
1.7615
0.4614
0.4420
0.4614
0.5095
0.7419
1.5
11906
1.1824
0.6575
0.6595
0.6575
0.6676
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
