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WANDB_MODE=online CUDA_VISIBLE_DEVICES=0,1 python src/lgmodeling/train_model.py \
=======
WANDB_MODE=offline CUDA_VISIBLE_DEVICES=0,1 python src/lgmodeling/train_model.py \
>>>>>>> master
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "rope" \
--num-shared-experts 1 --num-routed-experts 0 --topk 0 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2,3 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "sinusoidal" \
--num-shared-experts 1 --num-routed-experts 0 --topk 0 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=4,5 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "" \
--num-shared-experts 1 --num-routed-experts 0 --topk 0 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=0,1 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "rope" \
--num-shared-experts 1 --num-routed-experts 4 --topk 4 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2,3 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "sinusoidal" \
--num-shared-experts 1 --num-routed-experts 4 --topk 4 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=4,5 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "" \
--num-shared-experts 1 --num-routed-experts 4 --topk 4 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=0,1 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "rope" \
--num-shared-experts 1 --num-routed-experts 4 --topk 2 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2,3 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "sinusoidal" \
--num-shared-experts 1 --num-routed-experts 4 --topk 2 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b
WANDB_MODE=online CUDA_VISIBLE_DEVICES=4,5 python src/lgmodeling/train_model.py \
--seed 0 --tgt_len 256 --mem_len 256 --eval_tgt_len 256 --position-embeddings "" \
--num-shared-experts 1 --num-routed-experts 4 --topk 2 --rotary-dim 64 \
--n_layer 12 --n_embd 768 --n_head 12 --n_inner 3072 --attention-bias \
--learning-rate 0.00025 --batch-size 96 --max_step 500000 --warmup_step 2000 --dataset lm1b \
--wandb-project LMC-Attention --wandb-group "GPT2-OneBillionWord-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/lm1b --data-path /mnt/data/vinhbk/datasets/lm1b |