Model Card

Training Details

Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=128). Only the vision encoder is fine-tuned.

Evaluation Results

Test set accuracy:

  • pre-trained: 0.7131240963935852
  • fine-tuned: 0.948772132396698
Downloads last month
305
Safetensors
Model size
85.8M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for tanganke/clip-vit-base-patch16_oxford_flowers102

Finetuned
(33)
this model

Dataset used to train tanganke/clip-vit-base-patch16_oxford_flowers102