configs/.ipynb_checkpoints/visopt_vqa-checkpoint.yaml

train_file: ['vqa_train.json',
             'vqa_val.json',   
             ] #'vg_qa.json'
             
test_file: ['vqa_test.json']
answer_list: 'answer_list.json'

vqa_root: 'coco/' #train2014/
vg_root: 'visual_genome/'  #image/

image_res: 224
batch_size_train: 64
batch_size_test: 4
k_test: 128

warm_up: True



optimizer: {opt: adamW, lr: 2e-5, weight_decay: 0.02}
schedular: {sched: cosine, lr: 2e-5, epochs: 8, min_lr: 1e-6, decay_rate: 1, warmup_lr: 1e-5, warmup_epochs: 4, cooldown_epochs: 0}

use_vis_prefix: True
start_layer_idx: 11
end_layer_idx: 23

injected_hidden_states: 1

lm_loss_weight: 0.1 

unfreeze_text_layer_norm: False
unfreeze_vision_layer_norm: False