cur5_classifier-direct-ll-experiment_linux.yaml

model_name: "classifier-direct-ll"
version: "curriculum_5"

train_path: "/path/to/GQA/h5_train_balanced_cur_5"
train_object_path: "/path/to/GQA/allImages/objects"
train_object_info_path: "/path/to/GQA/allImages/objects/gqa_objects_info.json"
validation_path: "/path/to/GQA/h5_validation_cur_5"
test_path: "/path/to/GQA/h5_test_cur_5"
image_path: "/path/to/GQA/allImages/images"

model_path: "/path/to/Trained-models/GQA"

attribute_file: "./DFOL_VQA/src/nsvqa/data/metadata/gqa_all_attribute.json"
class_file: "./DFOL_VQA/src/nsvqa/data/metadata/gqa_all_class.json"
relation_file: "./DFOL_VQA/src/nsvqa/data/metadata/gqa_relation.json"
word_embedding_file: "/path/to/Glove/glove.42B.300d.txt"
vocabulary_file: "./DFOL_VQA/src/nsvqa/data/metadata/gqa_vocab.json"
h5_prefix: "gqa_objects"
h5_chunk_num: 16

repetition_num: 1
epoch_num: 500

error_dim: 1
metric_index: 0

train_batch_size: 80
test_batch_size: 80
learning_rate: 0.00001
weight_decay: 0.0000000001
dropout: 0.1
clip_norm: 0.65

verbose: true
max_cache_size: 100000

box_features_dim: 2048
oracle_input_dim: 512
oracle_output_dim: 1
word_embedding_dim: 300

classifier_oracle: True
featurizer_layers_config: []
attribute_network_layers_config: [256]
relation_network_layers_config: [256]
operator_layers_config: []
normalize_oracle: True

freeze_featurizer: True
freeze_attribute_network: False
freeze_relation_network: False
freeze_embedding_network: False

activate_attention_transfer: False
attention_transfer_state_dim: 50
freeze_attention_network: True

trainable_gate: False
likelihood_threshold: 0
hard_mode: False

# cpu_cores_num: 4
in_memory: true
gpu_num: 4
ckeckpointing_frequency: 1000
first_answer: False