Edit model card

BLIP for RSICD image captioning:

  • blip-image-captioning-base model has been finetuned on the rsicd dataset. Training parameters used are as follows:
    • learning_rate = 5e-7
    • optimizer = AdamW
    • scheduler = ReduceLROnPlateau
    • epochs = 5
  • More details (demo, testing, evaluation, metrics) available at github repo
Downloads last month
8
Safetensors
Model size
247M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Gurveer05/blip-image-captioning-base-rscid-finetuned