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Shawon16/
VideoMAE_BdSLW60_SR_8_kineticsFinetuned_withoutAug

Name: VideoMAE_BdSLW60_SR_8_kineticsFinetuned_withoutAug
Availability: InStock

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VideoMAE_BdSLW60_SR_8_kineticsFinetuned_withoutAug

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

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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: 18560
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
2.859	0.0501	929	0.8475	0.9183	0.9240	0.9183	0.9087
0.0555	1.0501	1858	0.3023	0.9217	0.9317	0.9217	0.9093
0.0025	2.0501	2787	0.2999	0.935	0.9378	0.935	0.9273
0.0009	3.0501	3716	0.0876	0.9767	0.9809	0.9767	0.9762
0.1355	4.0501	4645	0.2540	0.9267	0.9182	0.9267	0.9146
0.099	5.0501	5574	0.2616	0.9633	0.9570	0.9633	0.9578
0.0656	6.0501	6503	0.2061	0.9617	0.9675	0.9617	0.9598
0.0314	7.0501	7432	0.2037	0.9533	0.9624	0.9533	0.9526
0.0874	8.0501	8361	0.2197	0.95	0.9612	0.95	0.9458