videomae-base-finetuned-good-gesturePhaseV1 – AI Model by alexgrigore | AlphaNeural AI

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alexgrigore/
videomae-base-finetuned-good-gesturePhaseV1

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video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

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videomae-base-finetuned-good-gesturePhaseV1

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

Accuracy: 0.5918
Loss: 1.1628
Accuracy Hold: 0.0
Accuracy Stroke: 0.0
Accuracy Recovery: 0.0
Accuracy Preparation: 0.9221
Accuracy Unknown: 0.4571

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: 8
eval_batch_size: 8
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: 276

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Accuracy Hold	Accuracy Stroke	Accuracy Recovery	Accuracy Preparation	Accuracy Unknown
1.2297	0.2536	70	0.5597	1.2679	0.0	0.0	0.0	1.0	0.0
0.9724	1.2536	140	0.5597	1.2204	0.0	0.0	0.0	1.0	0.0
0.9151	2.2536	210	0.6119	1.0776	0.0	0.0	0.0	0.9333	0.4615
0.9169	3.2391	276	0.6269	1.0385	0.0	0.0	0.0	0.9067	0.6154

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1