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lra_config.yaml
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listops:
dataset: "listops"
pe_type: "rpe" # "nope", "spe", "ape", or "rpe"
max_seq_len: 1999
vocab_size: 16 # 15 tokens + 1 PAD
embed_dim: 32
hidden_dim: 128
pooling_type: "MEAN" # "CLS", "MEAN", "SUM", or "FLATTEN"
encoder_dim: 32
mlp_dim: 32
num_class: 10
interaction: "None"
enable_cuda: true
device_id: 0
pe_drop_prob: 0.1
embed_drop_prob: 0.1
value_drop_prob: 0.1
ffn_drop_prob: 0.1
decoder_drop_prob: 0.0
batch_size: 128
lr: 0.001
weight_decay: 0.001
epochs: 100
optimizer: "adamw" # "adamw", "nadamw", or "ademamix"
patience: 7
num_workers: 2
xformer:
converter:
permutation_dim: 0
enable_kpm: true
enable_kploss: true
kernel_type: "none" # "none", "dirichlet", "fejer", "jackson", "lanczos", "lorentz", "vekic", or "wang"
max_order: 2
mu: 3
xi: 4.0
stigma: 0.5
heta: 2
eigenvalue_drop_prob: 0.1
eigenvector_drop_prob: 0.1
eta: 0.001
text:
dataset: "text"
pe_type: "rpe" # "nope", "spe", "ape", or "rpe"
max_seq_len: 4096
vocab_size: 96 # 95 unique symbols + 1 PAD
embed_dim: 64
hidden_dim: 256
pooling_type: "MEAN" # "CLS", "MEAN", "SUM", or "FLATTEN"
encoder_dim: 64
mlp_dim: 64
num_class: 2
interaction: "None"
enable_cuda: true
device_id: 0
pe_drop_prob: 0.1
embed_drop_prob: 0.1
value_drop_prob: 0.1
ffn_drop_prob: 0.1
decoder_drop_prob: 0.0
batch_size: 128
lr: 0.001
weight_decay: 0.001
epochs: 60
optimizer: "adamw" # "adamw", "nadamw", or "ademamix"
patience: 5
num_workers: 2
xformer:
converter:
permutation_dim: 0
enable_kpm: true
enable_kploss: true
kernel_type: "none" # "none", "dirichlet", "fejer", "jackson", "lanczos", "lorentz", "vekic", or "wang"
max_order: 2
mu: 3
xi: 4.0
stigma: 0.5
heta: 2
eigenvalue_drop_prob: 0.1
eigenvector_drop_prob: 0.1
eta: 0.001
image:
dataset: "image"
pe_type: "rpe" # "nope", "spe", "ape", or "rpe"
max_seq_len: 1024
vocab_size: 256 # 256 unique pixel values
embed_dim: 64
hidden_dim: 256
pooling_type: "MEAN" # "CLS", "MEAN", "SUM", or "FLATTEN"
encoder_dim: 64
mlp_dim: 64
num_class: 10
interaction: "None"
enable_cuda: true
device_id: 0 # single GPU
pe_drop_prob: 0.1
embed_drop_prob: 0.1
value_drop_prob: 0.1
ffn_drop_prob: 0.1
decoder_drop_prob: 0.0
batch_size: 128
lr: 0.001
weight_decay: 0.001
epochs: 30
optimizer: "adamw" # "adamw", "nadamw", or "ademamix"
patience: 5
num_workers: 2
xformer:
converter:
permutation_dim: 0
enable_kpm: true
enable_kploss: true
kernel_type: "none" # "none", "dirichlet", "fejer", "jackson", "lanczos", "lorentz", "vekic", or "wang"
max_order: 2
mu: 3
xi: 4.0
stigma: 0.5
heta: 2
eigenvalue_drop_prob: 0.1
eigenvector_drop_prob: 0.1
eta: 0.01
pathfinder:
dataset: "pathfinder"
pe_type: "rpe" # "nope", "spe", "ape", or "rpe"
max_seq_len: 1024
vocab_size: 225 # 225 unique pixel values
embed_dim: 64
hidden_dim: 256
pooling_type: "MEAN" # "CLS", "MEAN", "SUM", or "FLATTEN"
encoder_dim: 64
mlp_dim: 64
num_class: 2
interaction: "None"
enable_cuda: true
device_id: 0
pe_drop_prob: 0.1
embed_drop_prob: 0.1
value_drop_prob: 0.1
ffn_drop_prob: 0.1
decoder_drop_prob: 0.0
batch_size: 256
lr: 0.0002
weight_decay: 0.0002
epochs: 60
optimizer: "adamw" # "adamw", "nadamw", or "ademamix"
patience: 3
num_workers: 2
xformer:
converter:
permutation_dim: 0
enable_kpm: true
enable_kploss: true
kernel_type: "none" # "none", "dirichlet", "fejer", "jackson", "lanczos", "lorentz", "vekic", or "wang"
max_order: 2
mu: 3
xi: 4.0
stigma: 0.5
heta: 2
eigenvalue_drop_prob: 0.1
eigenvector_drop_prob: 0.1
eta: 0.001
retrieval:
dataset: "retrieval"
pe_type: "rpe" # "nope", "spe", "ape", or "rpe"
max_seq_len: 4000
vocab_size: 98 # 96 unique symbols + 1 PAD
embed_dim: 64
hidden_dim: 256
pooling_type: "MEAN" # "CLS", "MEAN", "SUM", or "FLATTEN"
encoder_dim: 64
mlp_dim: 64
num_class: 2
interaction: "NLI" # "NLI" or "CAT"
enable_cuda: true
device_id: 0
pe_drop_prob: 0.1
embed_drop_prob: 0.1
value_drop_prob: 0.1
ffn_drop_prob: 0.1
decoder_drop_prob: 0.0
batch_size: 256
lr: 0.001
weight_decay: 0.001
epochs: 30
optimizer: "adamw" # "adamw", "nadamw", or "ademamix"
patience: 3
num_workers: 2
xformer:
converter:
permutation_dim: 0
enable_kpm: true
enable_kploss: true
kernel_type: "none" # "none", "dirichlet", "fejer", "jackson", "lanczos", "lorentz", "vekic", or "wang"
max_order: 2
mu: 3
xi: 4.0
stigma: 0.5
heta: 2
eigenvalue_drop_prob: 0.1
eigenvector_drop_prob: 0.1
eta: 0.001