GraphER/config.yaml at main · urchade/GraphER · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
# Model Configuration
model_name: microsoft/deberta-v3-base  # Hugging Face model
name: "grapher"
max_width: 12
hidden_size: 768
dropout: 0.1
fine_tune: true
subtoken_pooling: first
span_mode: markerV0
num_heads: 4
num_transformer_layers: 2
ffn_mul: 4
scorer: "dot"

# Training Parameters
num_steps: 30000
train_batch_size: 8
eval_every: 5000
warmup_ratio: 0.1
scheduler_type: "cosine"

# Learning Rate and weight decay Configuration
lr_encoder: 1e-5
lr_others: 5e-5

# Directory Paths
root_dir: grapher_logs
train_data: "data/rel_news_b.json"
val_data_dir: "data/NER_datasets"

# Pretrained Model Path
# Use "none" if no pretrained model is being used
prev_path: "none"

# Advanced Training Settings
size_sup: -1
max_types: 25
max_len: 384
freeze_token_rep: false
save_total_limit: 20
max_top_k: 54
add_top_k: 10
shuffle_types: true

random_drop: true
max_neg_type_ratio: 2
max_ent_types: 20
max_rel_types: 20