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clip-vit-base-patch32_concrete-task-arithmetic_tblogs
tanganke/clip-vit-base-patch32_concrete-task-arithmetic_tblogs
clip-vit-base-patch32_concrete-task-arithmetic_tblogs is a machine learning model from tanganke. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Merging CLIP models on eight image classification tasks, using the concrete task arithmetic algorithm
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Public
Updated Jul 11, 2024
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1.4 GB
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.pt1.4 GB · 100%
At a glance
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- bc87936e
Model card
From the Hugging Face model README
Merging CLIP models on eight image classification tasks, using the concrete task arithmetic algorithm
fusion_bench \
fabric_logger.name=ViT-B-32/concrete_task_arithmetic \
method=clip_concrete_task_arithmetic \
modelpool=clip-vit-base-patch32_TA8 \
taskpool=clip-vit-classification_TA8
results
{
"svhn": {
"accuracy": 0.903003990650177,
"loss": 0.37700024247169495
},
"stanford_cars": {
"accuracy": 0.6326327323913574,
"loss": 1.2553859949111938
},
"resisc45": {
"accuracy": 0.7558730244636536,
"loss": 1.017554759979248
},
"eurosat": {
"accuracy": 0.9407407641410828,
"loss": 0.20871955156326294
},
"gtsrb": {
"accuracy": 0.8285035490989685,
"loss": 0.5861473679542542
},
"mnist": {
"accuracy": 0.9800000190734863,
"loss": 0.08148527890443802
},
"dtd": {
"accuracy": 0.5249999761581421,
"loss": 2.2731478214263916
},
"sun397": {
"accuracy": 0.6421158909797668,
"loss": 1.4108904600143433
}
}
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024