vivit-b-16x2-kinetics400-finetuned-ucf101-subset – AI Model by Ham1mad1 | AlphaNeural AI

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Ham1mad1/
vivit-b-16x2-kinetics400-finetuned-ucf101-subset

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video-classification

generated_from_trainer

google/vivit-b-16x2-kinetics400

endpoints_compatible

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vivit-b-16x2-kinetics400-finetuned-ucf101-subset

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 991262442243755631422586792733310976.0000
Accuracy: 0.5455

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: 5e-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
training_steps: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
872310942836251954510729370121797632.0000	0.5	10	991262442243755631422586792733310976.0000	0.5455
872310942836251954510729370121797632.0000	1.5	20	991262442243755631422586792733310976.0000	0.5455

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.0
Tokenizers 0.15.0