Asadali12
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vivit-b-16x2-kinetics400-finetuned-ucf101-subset-new

Video Classification

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

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: 0.0228
Accuracy: 0.9933

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: 1200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.027	0.25	300	0.0306	1.0
0.0036	1.25	600	0.0418	0.9799
0.019	2.25	900	0.0046	1.0
0.001	3.25	1200	0.0228	0.9933

Framework versions

Transformers 4.44.0
Pytorch 2.0.1+cu117
Datasets 2.21.0
Tokenizers 0.19.1

Downloads last month: 18

Safetensors

Model size

89M params

Tensor type

F32

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Inference API

Video Classification

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Model tree for Asadali12/vivit-b-16x2-kinetics400-finetuned-ucf101-subset-new

Base model

google/vivit-b-16x2-kinetics400

Finetuned

this model

Dataset used to train Asadali12/vivit-b-16x2-kinetics400-finetuned-ucf101-subset-new

Evaluation results

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