models/smi_ted/training/run_model_large_training.sh

#!/bin/bash
torchrun \
    --standalone \
    --nnodes=1 \
    --nproc_per_node=1 \
    train_model_D.py \
        --device cuda \
        --n_batch 48 \
        --n_layer 24 \
        --n_head 16 \
        --n_embd 1024 \
        --max_len 202 \
        --d_dropout 0.2 \
        --lr_start 3e-5 \
        --lr_multiplier 4 \
        --lr_decoder 3e-5 \
        --n_workers 1 \
        --max_epochs 51 \
        --gpu -1 \
        --num_nodes 1 \
        --num_feats 32 \
        --root_dir . \
        --checkpoint_every 10000 \
        --grad_acc 1 \
        --train_load 'pubchem' \
        --smi_ted_version 'v2' \
        --data_root './pubchem/pubchem_rd-canonical_smiles.smi' \
        --save_checkpoint_path './large_checkpoints' \
        --load_checkpoint_path '' \
        --rotate \
        --debug \
        --model_arch 'BERT__both_rotate' \