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jialicheng/
unlearn_nlvr2_vilt_salun_8_87

Name: unlearn_nlvr2_vilt_salun_8_87
Availability: InStock

safetensors

vilt

image-text-classification

generated_from_trainer

dandelin/vilt-b32-finetuned-nlvr2

finetune

apache-2.0

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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: 0.9840
Accuracy: 0.7293
Dt Accuracy: 0.7293
Df Accuracy: 0.4353
Unlearn Overall Accuracy: 0.4649
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
0.3521	1.0	2700	0.5534	0.8614	0.3189	0.3189	None
0.2902	2.0	5400	0.5890	0.7066	0.3826	0.3826	None
0.2232	3.0	8100	0.7256	0.5758	0.4258	0.4258	None
0.1873	4.0	10800	0.8449	0.4980	0.4486	0.4486	None
0.142	5.0	13500	0.9510	0.4542	0.4604	0.4604	None
0.1206	6.0	16200	0.9840	0.4353	0.4649	0.4649	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2

jialicheng/unlearn_nlvr2_vilt_salun_8_87

87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_nlvr2_vilt_salun_8_87