dirpath: models/
save_top_k: 1
seed: 0
data_type: user
train_data_path: data_json/user_train.json
dev_data_path: data_json/user_eval.json
batch_size: 1
lr: 0.0003
lr_alpha: 0.1
max_length: 32
weight_decay: 0.01
total_num_updates: 20000
warmup_updates: 1000
num_workers: 0
model_name: minigpt4
eps: 0.1
model_checkpoint: ''
margin_lp_max: 0.001
margin_lp_min: 1.0e-07
max_scale: 1
p: 2
divergences: lp
use_views: false
logger: true
checkpoint_callback: true
default_root_dir: null
gradient_clip_val: 0.0
gradient_clip_algorithm: norm
process_position: 0
num_nodes: 1
num_processes: 1
gpus: -1
auto_select_gpus: false
tpu_cores: null
log_gpu_memory: null
progress_bar_refresh_rate: null
overfit_batches: 0.0
track_grad_norm: -1
check_val_every_n_epoch: 1
fast_dev_run: false
accumulate_grad_batches: 1
max_epochs: null
min_epochs: null
max_steps: 20000
min_steps: null
max_time: null
limit_train_batches: 1.0
limit_val_batches: 1.0
limit_test_batches: 1.0
limit_predict_batches: 1.0
val_check_interval: 1.0
flush_logs_every_n_steps: 100
log_every_n_steps: 50
accelerator: null
sync_batchnorm: false
precision: 32
weights_summary: top
weights_save_path: null
num_sanity_val_steps: 2
truncated_bptt_steps: null
resume_from_checkpoint: null
profiler: null
benchmark: false
deterministic: false
reload_dataloaders_every_epoch: false
auto_lr_find: false
replace_sampler_ddp: true
terminate_on_nan: false
auto_scale_batch_size: false
prepare_data_per_node: true
plugins: null
amp_backend: native
amp_level: O2
distributed_backend: null
move_metrics_to_cpu: false
multiple_trainloader_mode: max_size_cycle
stochastic_weight_avg: false