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a20151e | 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 53 54 55 56 57 | WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 8 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 20 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 8 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
# WANDB_MODE=online CUDA_VISIBLE_DEVICES=7 python src/lgmodeling/finetune.py \
# --model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
# --seed 40 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 8 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
# --learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
# --wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
# --model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
NVIDIA_TF32_OVERRIDE=0 JAX_DEFAULT_MATMUL_PRECISION=highest CUBLAS_WORKSPACE_CONFIG=:4096:8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 16 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
NVIDIA_TF32_OVERRIDE=0 JAX_DEFAULT_MATMUL_PRECISION=highest CUBLAS_WORKSPACE_CONFIG=:4096:8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 20 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 16 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
NVIDIA_TF32_OVERRIDE=0 JAX_DEFAULT_MATMUL_PRECISION=highest CUBLAS_WORKSPACE_CONFIG=:4096:8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 40 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 16 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
NVIDIA_TF32_OVERRIDE=0 JAX_DEFAULT_MATMUL_PRECISION=highest CUBLAS_WORKSPACE_CONFIG=:4096:8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 0 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 4 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
NVIDIA_TF32_OVERRIDE=0 JAX_DEFAULT_MATMUL_PRECISION=highest CUBLAS_WORKSPACE_CONFIG=:4096:8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 20 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 4 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8
NVIDIA_TF32_OVERRIDE=0 JAX_DEFAULT_MATMUL_PRECISION=highest CUBLAS_WORKSPACE_CONFIG=:4096:8 WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/lgmodeling/finetune.py \
--model-path /mnt/data/vinhbk/weights/enwik8/lr0.00025-rope-step60000-warm0-size24-layer12-embd512-heads8-shared1-routed0-topk0/best_56000 \
--seed 40 --tgt_len 512 --mem_len 512 --eval_tgt_len 128 --n_head 4 --finetune-mlp --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11 \
--learning-rate 0.00025 --batch-size 24 --max_step 60000 --warmup_step 0 --dataset enwik8 \
--wandb-project LMC-Attention --wandb-group "GPT2-Enwik8-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--model-save-dir /mnt/data/vinhbk/weights/enwik8/gpt2-finetune --data-path /mnt/data/vinhbk/datasets/enwik8 |