WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "learnable" \ --num-shared-experts 1 --num-routed-experts 0 --topk 0 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-FFN" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "rope" \ --num-shared-experts 1 --num-routed-experts 0 --topk 0 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-FFN" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "sinusoidal" \ --num-shared-experts 1 --num-routed-experts 0 --topk 0 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-FFN" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 <<<<<<< HEAD WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "learnable" \ --num-shared-experts 1 --num-routed-experts 4 --topk 4 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-MoE" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "rope" \ --num-shared-experts 1 --num-routed-experts 4 --topk 4 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-MoE" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "sinusoidal" \ --num-shared-experts 1 --num-routed-experts 4 --topk 4 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-MoE" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "learnable" \ --num-shared-experts 1 --num-routed-experts 4 --topk 2 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-SMoE" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "rope" \ --num-shared-experts 1 --num-routed-experts 4 --topk 2 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-SMoE" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=6 python src/lgmodeling/train_model.py \ --seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --position-embeddings "sinusoidal" \ --num-shared-experts 1 --num-routed-experts 4 --topk 2 --rotary-dim 64 \ --n_layer 12 --n_embd 512 --n_head 8 --n_inner 2048 --attention-bias \ --learning-rate 0.00025 --batch-size 24 --max_step 72000 --warmup_step 2000 --dataset text8 \ --wandb-project LMC-Attention --wandb-group "GPT2-Text8-SMoE" --wandb-entity "vinh-bui0512-hcmut"\ --model-save-dir /cm/archive/vinhbk1/weights/text8 --data-path /cm/archive/vinhbk1/datasets/text8 ======= >>>>>>> master