Add additional demo scripts

scripts/TimeLLM_ECL.sh

@@ -0,0 +1,108 @@
+model_name=TimeLLM
+train_epochs=10
+learning_rate=0.01
+llama_layers=32
+
+master_port=00097
+num_process=8
+batch_size=24
+d_model=16
+d_ff=32
+
+comment='TimeLLM-ECL'
+
+accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_512_96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 96 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_512_192 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 192 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+  accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_512_336 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 336 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+  accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/electricity/ \
+  --data_path electricity.csv \
+  --model_id ECL_512_720 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 720 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 321 \
+  --dec_in 321 \
+  --c_out 321 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment

scripts/TimeLLM_Traffic.sh

@@ -0,0 +1,108 @@
+model_name=TimeLLM
+train_epochs=10
+learning_rate=0.01
+llama_layers=32
+
+master_port=00097
+num_process=8
+batch_size=24
+d_model=16
+d_ff=32
+
+comment='TimeLLM-Traffic'
+
+accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/traffic/ \
+  --data_path traffic.csv \
+  --model_id traffic_512_96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 96 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 862 \
+  --dec_in 862 \
+  --c_out 862 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/traffic/ \
+  --data_path traffic.csv \
+  --model_id traffic_512_96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 192 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 862 \
+  --dec_in 862 \
+  --c_out 862 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+  accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/traffic/ \
+  --data_path traffic.csv \
+  --model_id traffic_512_96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 336 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 862 \
+  --dec_in 862 \
+  --c_out 862 \
+  --batch_size 1 \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+  accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/traffic/ \
+  --data_path traffic.csv \
+  --model_id traffic_512_96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 720 \
+  --pred_len 96 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 862 \
+  --dec_in 862 \
+  --c_out 862 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment

scripts/TimeLLM_Weather.sh

@@ -0,0 +1,116 @@
+model_name=TimeLLM
+train_epochs=10
+learning_rate=0.01
+llama_layers=32
+
+master_port=00097
+num_process=8
+batch_size=24
+d_model=16
+d_ff=32
+
+comment='TimeLLM-Weather'
+
+accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/weather/ \
+  --data_path weather.csv \
+  --model_id weather_512_96 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 96 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 21 \
+  --dec_in 21 \
+  --c_out 21 \
+  --d_model 32 \
+  --d_ff 32 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/weather/ \
+  --data_path weather.csv \
+  --model_id weather_512_192 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 192 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 21 \
+  --dec_in 21 \
+  --c_out 21 \
+  --d_model 32 \
+  --d_ff 32 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs $train_epochs \
+  --model_comment $comment
+
+  accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/weather/ \
+  --data_path weather.csv \
+  --model_id weather_512_336 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 336 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 21 \
+  --dec_in 21 \
+  --c_out 21 \
+  --d_model 32 \
+  --d_ff 128 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs 10 \
+  --model_comment $comment
+
+  accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run.py \
+  --task_name long_term_forecast \
+  --is_training 1 \
+  --root_path ./dataset/weather/ \
+  --data_path weather.csv \
+  --model_id weather_512_720 \
+  --model $model_name \
+  --data custom \
+  --features M \
+  --seq_len 512 \
+  --label_len 48 \
+  --pred_len 720 \
+  --e_layers 2 \
+  --d_layers 1 \
+  --factor 3 \
+  --enc_in 21 \
+  --dec_in 21 \
+  --c_out 21 \
+  --d_model 32 \
+  --d_ff 128 \
+  --batch_size $batch_size \
+  --learning_rate $learning_rate \
+  --llm_layers $llama_layers \
+  --train_epochs 15 \
+  --model_comment $comment