ViViT_lsa64_coR – AI Model by Shawon16 | AlphaNeural AI

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Shawon16/
ViViT_lsa64_coR

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video-classification

generated_from_trainer

google/vivit-b-16x2-kinetics400

endpoints_compatible

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ViViT_lsa64_coR

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: 0.0008
Accuracy: 1.0

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 2880
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
12.7049	0.1	288	1.3316	0.8438
1.4335	1.1	576	0.0854	0.9922
0.0869	2.1	864	0.0054	1.0
0.0225	3.1	1152	0.0021	1.0
0.0057	4.1	1440	0.0012	1.0
0.0038	5.1	1728	0.0010	1.0
0.0024	6.1	2016	0.0008	1.0
0.0016	7.1	2304	0.0008	1.0

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.1