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GraphCastTp.yaml 1.20 KB
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Zhou Chuansai 提交于 2024-02-21 17:17 +08:00 . medium_tp
model:
name: "GraphCastTp"
latent_dims: 512
processing_steps: 10
recompute: False
vm_in_channels: 3
em_in_channels: 4
eg2m_in_channels: 4
em2g_in_channels: 4
data:
name: "era5"
root_dir: "./dataset_tp"
feature_dims: 69
pressure_level_num: 13
data_sink: False
batch_size: 1
t_in: 1
t_out_train: 1
t_out_valid: 20
t_out_test: 20
train_interval: 1
valid_interval: 1
test_interval: 1
pred_lead_time: 6
data_frequency: 6
train_period: [2018, 2018]
valid_period: [2021, 2021]
test_period: [2022, 2022]
rollout_steps: 1
num_workers: 1
mesh_level: 5
grid_resolution: 0.5
tp: True
tp_dir: './dataset_tp/tp_log_data/'
optimizer:
name: "adamw"
initial_lr: 1.25e-4
finetune_lr: 0.0000003
finetune_epochs: 1
warmup_epochs: 1
weight_decay: 0.1
gamma: 0.5
epochs: 20
summary:
summary_dir: "./summary"
eval_interval: 10
save_checkpoint_steps: 10
keep_checkpoint_max: 10
save_rmse_acc: False
plt_key_info: True
key_info_timestep: [6, 72, 120]
ckpt_path: ""
backbone_ckpt_path: "./dataset_tp/ckpt/GraphCast-device0-1_2008.ckpt"
train:
name: "oop"
distribute: False
mixed_precision: True
amp_level: O2
load_ckpt: True
gradient_clip_value: 16
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