FAPM_demo / lavis /projects /blip2 /train /retrieval_coco_ft.yaml
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# Copyright (c) 2022, salesforce.com, inc.
# All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
model:
arch: blip2
model_type: coco
load_pretrained: True
load_finetuned: False
freeze_vit: False
# # finetune blip2 with clip-vit-large
# use_grad_checkpoint: False
# pretrained: "https://storage.googleapis.com/sfr-vision-language-research/LAVIS/models/BLIP2/blip2_pretrained_vitL.pth"
# vit_model: clip_L
datasets:
coco_retrieval: # name of the dataset builder
vis_processor:
train:
name: "blip2_image_train"
image_size: 364
eval:
name: "blip_image_eval"
image_size: 364
text_processor:
train:
name: "blip_caption"
eval:
name: "blip_caption"
build_info:
images:
storage: '/export/share/datasets/vision/coco/images/'
run:
task: retrieval
# optimizer
lr_sched: "linear_warmup_cosine_lr"
init_lr: 1e-5
min_lr: 0
warmup_lr: 1e-8
warmup_steps: 1000
weight_decay: 0.05
max_epoch: 5
batch_size_train: 14
batch_size_eval: 16
lr_layer_decay: 0.95 # layer-wise learning rate decay for the ViT
num_workers: 4
accum_grad_iters: 1
seed: 42
output_dir: "output/BLIP2/Retrieval_coco"
amp: True
resume_ckpt_path: null
evaluate: False
train_splits: ["train"]
valid_splits: ["test"]
# test_splits: ["test"]
k_test: 128
device: "cuda"
world_size: 1
dist_url: "env://"
distributed: True
use_dist_eval_sampler: False