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: 0.6696000099182129
  • fine-tuned: 0.9527999758720398
Downloads last month
50
Safetensors
Model size
303M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Model tree for tanganke/clip-vit-large-patch14_fashion_mnist

Finetuned
(54)
this model

Dataset used to train tanganke/clip-vit-large-patch14_fashion_mnist