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NiklasTUM/
videomae-base-finetuned-deception-dataset-v2

Name: videomae-base-finetuned-deception-dataset-v2
Rating: 2.5 (8 reviews)

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videomae-base-finetuned-deception-dataset-v2

This model is a fine-tuned version of NiklasTUM/videomae-base-finetuned-deception-dataset 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: 14
eval_batch_size: 14
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 28
optimizer: Use OptimizerNames.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: 252

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1031	1.0	22	1.8863	0.5185
0.125	2.0	44	0.9140	0.8765
0.0816	3.0	66	1.2803	0.7037
0.097	4.0	88	1.3666	0.6914
0.0607	5.0	110	2.0708	0.5432
0.0848	6.0	132	1.5366	0.6049
0.0727	7.0	154	1.4673	0.6420
0.0716	8.0	176	1.3291	0.6914
0.1157	9.0	198	1.7054	0.5802
0.0738	10.0	220	1.2064	0.7160
0.0604	11.0	242	1.2631	0.6790
0.0509	11.4651	252	1.3303	0.6790