File size: 1,185 Bytes
8a9746d | 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 49 50 51 52 | input_format:
pred_sentinel: '[PRED]'
template: '[REF] {reference_report}
[PRED] {candidate_report}'
loss:
anat: 0.5
cand: 0.5
cat: 1.0
concept: 0.3
ref: 0.5
sev: 0.5
metrics:
primary_metric: val_mae_K
model:
architecture: cada_d
attn_implementation: flash_attention_2
backbone_name: Qwen/Qwen3-Embedding-0.6B
chest2vec_adapter_path: /opt/project/chest2vec/export_chest2vec_0.6b_chest/contrastive
decoder_dropout: 0.1
decoder_ff: 2048
decoder_heads: 8
decoder_layers: 4
freeze_backbone_initially: false
lora_alpha: 64
lora_dropout: 0.05
lora_rank: 32
max_decode_steps: 24
max_length: 1280
n_anat: 9
n_cat: 5
n_severity: 2
use_lora: true
paths:
concept_vocab_path: /opt/project/chest2vec/chest2vec_error/artifacts_v5/concept2id.json
data_csv: /opt/project/chest2vec/create_labels/unified_variants_v5_merged.csv
output_dir: /opt/project/chest2vec/chest2vec_error/artifacts/cada_d_6gpu
seed: 42
training:
batch_size: 8
bf16: true
epochs: 20
grad_accum_steps: 1
gradient_checkpointing: false
lr_backbone: 0.0001
lr_heads: 0.0003
max_grad_norm: 1.0
num_workers: 4
warmup_ratio: 0.03
weight_decay: 0.01
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