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esmaelehab/
videomae-base-finetuned-kinetics-finetuned-Accident-dataset

Name: videomae-base-finetuned-kinetics-finetuned-Accident-dataset
Availability: InStock

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videomae-base-finetuned-kinetics-finetuned-Accident-dataset

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 392
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5675	0.1276	50	0.2509	0.9126
0.1471	1.1276	100	0.2354	0.9126
0.022	2.1276	150	0.1293	0.9515
0.0013	3.1276	200	0.0422	0.9806
0.0009	4.1276	250	0.0173	0.9903
0.0024	5.1276	300	0.0544	0.9806
0.0376	6.1276	350	0.0447	0.9806
0.0007	7.1071	392	0.0317	0.9806