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earthformer_sevir_v1.yaml
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earthformer_sevir_v1.yaml
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# Configurations for pretrained checkpoint. Please do not modify it.
dataset:
dataset_name: "sevir"
img_height: 384
img_width: 384
in_len: 13
out_len: 12
seq_len: 25
plot_stride: 2
interval_real_time: 5
sample_mode: "sequent"
stride: 12
layout: "NTHWC"
start_date: null
train_val_split_date: [2019, 1, 1]
train_test_split_date: [2019, 6, 1]
end_date: null
metrics_mode: "0"
metrics_list: ['csi', 'pod', 'sucr', 'bias']
threshold_list: [16, 74, 133, 160, 181, 219]
layout:
in_len: 13
out_len: 12
layout: "NTHWC"
optim:
total_batch_size: 32
micro_batch_size: 2
seed: 0
method: "adamw"
lr: 0.001
wd: 0.0
gradient_clip_val: 1.0
max_epochs: 100
# scheduler
lr_scheduler_mode: "cosine"
min_lr_ratio: 1.0e-3
warmup_min_lr_ratio: 0.0
warmup_percentage: 0.2
# early stopping
early_stop: true
early_stop_mode: "min"
early_stop_patience: 20
save_top_k: 1
logging:
logging_prefix: "Cuboid_SEVIR"
monitor_lr: true
monitor_device: false
track_grad_norm: -1
use_wandb: false
trainer:
check_val_every_n_epoch: 1
log_step_ratio: 0.001
precision: 32
vis:
train_example_data_idx_list: [0, ]
val_example_data_idx_list: [80, ]
test_example_data_idx_list: [0, 80, 160, 240, 320, 400]
eval_example_only: false
plot_stride: 2
model:
input_shape: [13, 384, 384, 1]
target_shape: [12, 384, 384, 1]
base_units: 128
# block_units: null
scale_alpha: 1.0
enc_depth: [1, 1]
dec_depth: [1, 1]
enc_use_inter_ffn: true
dec_use_inter_ffn: true
dec_hierarchical_pos_embed: false
downsample: 2
downsample_type: "patch_merge"
upsample_type: "upsample"
num_global_vectors: 8
use_dec_self_global: false
dec_self_update_global: true
use_dec_cross_global: false
use_global_vector_ffn: false
use_global_self_attn: true
separate_global_qkv: true
global_dim_ratio: 1
self_pattern: "axial"
cross_self_pattern: "axial"
cross_pattern: "cross_1x1"
dec_cross_last_n_frames: null
attn_drop: 0.1
proj_drop: 0.1
ffn_drop: 0.1
num_heads: 4
ffn_activation: "gelu"
gated_ffn: false
norm_layer: "layer_norm"
padding_type: "zeros"
pos_embed_type: "t+h+w"
use_relative_pos: true
self_attn_use_final_proj: true
dec_use_first_self_attn: false
z_init_method: "zeros"
checkpoint_level: 0
initial_downsample_type: "stack_conv"
initial_downsample_activation: "leaky"
initial_downsample_stack_conv_num_layers: 3
initial_downsample_stack_conv_dim_list: [16, 64, 128]
initial_downsample_stack_conv_downscale_list: [3, 2, 2]
initial_downsample_stack_conv_num_conv_list: [2, 2, 2]
attn_linear_init_mode: "0"
ffn_linear_init_mode: "0"
conv_init_mode: "0"
down_up_linear_init_mode: "0"
norm_init_mode: "0"