jialicheng/unlearn_nlvr2_vilt_salun_2_87

87

This model is a fine-tuned version of dandelin/vilt-b32-finetuned-nlvr2 on the nlvr2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.1647
• Accuracy: 0.7421
• Dt Accuracy: 0.7421
• Df Accuracy: 0.4652
• Unlearn Overall Accuracy: 0.9193
• Unlearn Time: None

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 64
• seed: 87
• 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
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
0.1908	1.0	2700	0.6917	0.8277	0.6690	0.6690	None
0.1391	2.0	5400	0.8736	0.6508	0.8053	0.8053	None
0.0929	3.0	8100	1.0155	0.5394	0.8765	0.8765	None
0.0701	4.0	10800	1.1373	0.4838	0.9090	0.9090	None
0.0515	5.0	13500	1.1647	0.4652	0.9193	0.9193	None

Framework versions

• Transformers 4.48.0
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.21.0