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kalita/
videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae

Name: videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
Availability: InStock

generated_from_trainer

MCG-NJU/videomae-small-finetuned-ssv2

finetune

cc-by-nc-4.0

endpoints_compatible

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videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae

This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0486
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 448

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4852	0.12	56	0.4753	0.7143
0.6294	1.12	112	0.0372	1.0
0.4141	2.12	168	0.0060	1.0
0.2121	3.12	224	0.0062	1.0
0.8881	4.12	280	0.0046	1.0
0.3003	5.12	336	0.0054	1.0
0.1027	6.12	392	0.1611	0.9286
0.0029	7.12	448	0.0898	0.9286

Framework versions

Transformers 4.39.3
Pytorch 2.0.1+cu118
Datasets 2.1.0
Tokenizers 0.15.2

kalita/videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae

videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kalita/
videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae