batch_size: 256 | |
epochs: 20 | |
eval_every_n_epochs: 1 | |
fine_tune_from: '' | |
log_every_n_steps: 25 | |
weight_decay: 10e-6 | |
fp16_precision: False | |
n_gpu: 2 | |
gpu_ids: (0,1) | |
model: | |
out_dim: 512 | |
base_model: "resnet18" | |
dataset: | |
s: 1 | |
input_shape: (224,224,3) | |
num_workers: 10 | |
valid_size: 0.1 | |
loss: | |
temperature: 0.5 | |
use_cosine_similarity: True | |