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: 0.6891817450523376
  • fine-tuned: 0.8045030236244202
Downloads last month
42
Safetensors
Model size
303M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for tanganke/clip-vit-large-patch14_rendered-sst2

Finetuned
(51)
this model

Dataset used to train tanganke/clip-vit-large-patch14_rendered-sst2