jialicheng/unlearn_ucf101_videomae-base_scrub_2_42

ucf101_42

This model is a fine-tuned version of MCG-NJU/videomae-base on the ucf101 dataset. It achieves the following results on the evaluation set:

• Loss: 0.8193
• Accuracy: 0.8334
• Test Accuracy: 0.8334
• Df Accuracy: 0.9933
• Unlearn Overall Accuracy: 0.4200
• Unlearn Time: 3579.1455

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: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	292	0.8259	0.9916	0.4198	0.4198	-1
No log	1.5	437	0.8193	0.9933	0.4200	0.4200	-1

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2