ADD file via upload

sft_code.sh

@@ -0,0 +1,154 @@
+#!/bin/bash
+
+deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
+    --stage sft \
+    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
+    --do_train \
+    --dataset TACO \
+    --template jiuge \
+    --finetuning_type full \
+    --output_dir TACO \
+    --per_device_train_batch_size 14 \
+    --gradient_accumulation_steps 6 \
+    --lr_scheduler_type cosine \
+    --logging_step 1 \
+    --save_steps 300 \
+    --lr_scheduler_type cosine_with_restarts \
+    --warmup_ratio 0.001 \
+    --optim adamw_torch \
+    --learning_rate 2e-5 \
+    --num_train_epochs 2.0 \
+    --plot_loss \
+    --bf16 \
+    --gradient_checkpointing \
+    --report_to tensorboard \
+    --deepspeed deepspeed_configs/zero2.json \
+    --cutoff_len 2048
+
+deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
+    --stage sft \
+    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
+    --do_train \
+    --dataset Tested-143k-Python-Alpaca \
+    --template jiuge \
+    --finetuning_type full \
+    --output_dir Tested-143k-Python-Alpaca \
+    --per_device_train_batch_size 14 \
+    --gradient_accumulation_steps 6 \
+    --lr_scheduler_type cosine \
+    --logging_step 1 \
+    --save_steps 300 \
+    --lr_scheduler_type cosine_with_restarts \
+    --warmup_ratio 0.001 \
+    --optim adamw_torch \
+    --learning_rate 2e-5 \
+    --num_train_epochs 2.0 \
+    --plot_loss \
+    --bf16 \
+    --gradient_checkpointing \
+    --report_to tensorboard \
+    --deepspeed deepspeed_configs/zero2.json \
+    --cutoff_len 2048
+    
+deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
+    --stage sft \
+    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
+    --do_train \
+    --dataset UltraInteract_sft \
+    --template jiuge \
+    --finetuning_type full \
+    --output_dir UltraInteract_sft \
+    --per_device_train_batch_size 14 \
+    --gradient_accumulation_steps 6 \
+    --lr_scheduler_type cosine \
+    --logging_step 1 \
+    --save_steps 300 \
+    --lr_scheduler_type cosine_with_restarts \
+    --warmup_ratio 0.001 \
+    --optim adamw_torch \
+    --learning_rate 2e-5 \
+    --num_train_epochs 2.0 \
+    --plot_loss \
+    --bf16 \
+    --gradient_checkpointing \
+    --report_to tensorboard \
+    --deepspeed deepspeed_configs/zero2.json \
+    --cutoff_len 2048
+    
+    
+deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
+    --stage sft \
+    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
+    --do_train \
+    --dataset  code_instructions_120k_alpaca \
+    --template jiuge \
+    --finetuning_type full \
+    --output_dir code_instructions_120k_alpaca \
+    --per_device_train_batch_size 14 \
+    --gradient_accumulation_steps 6 \
+    --lr_scheduler_type cosine \
+    --logging_step 1 \
+    --save_steps 300 \
+    --lr_scheduler_type cosine_with_restarts \
+    --warmup_ratio 0.001 \
+    --optim adamw_torch \
+    --learning_rate 2e-5 \
+    --num_train_epochs 2.0 \
+    --plot_loss \
+    --bf16 \
+    --gradient_checkpointing \
+    --report_to tensorboard \
+    --deepspeed deepspeed_configs/zero2.json \
+    --cutoff_len 2048
+    
+    
+deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
+    --stage sft \
+    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
+    --do_train \
+    --dataset  CodeExercise-Python-27k \
+    --template jiuge \
+    --finetuning_type full \
+    --output_dir CodeExercise-Python-27k \
+    --per_device_train_batch_size 14 \
+    --gradient_accumulation_steps 6 \
+    --lr_scheduler_type cosine \
+    --logging_step 1 \
+    --save_steps 300 \
+    --lr_scheduler_type cosine_with_restarts \
+    --warmup_ratio 0.001 \
+    --optim adamw_torch \
+    --learning_rate 2e-5 \
+    --num_train_epochs 2.0 \
+    --plot_loss \
+    --bf16 \
+    --gradient_checkpointing \
+    --report_to tensorboard \
+    --deepspeed deepspeed_configs/zero2.json \
+    --cutoff_len 2048
+    
+
+deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port 21666 src/train.py \
+    --stage sft \
+    --model_name_or_path /mnt/diskhd/Backup/DownloadModel/2b_sft_model/ \
+    --do_train \
+    --dataset CodeNet4Repair \
+    --template jiuge \
+    --finetuning_type full \
+    --output_dir CodeNet4Repair \
+    --per_device_train_batch_size 14 \
+    --gradient_accumulation_steps 6 \
+    --lr_scheduler_type cosine \
+    --logging_step 1 \
+    --save_steps 300 \
+    --lr_scheduler_type cosine_with_restarts \
+    --warmup_ratio 0.001 \
+    --optim adamw_torch \
+    --learning_rate 2e-5 \
+    --num_train_epochs 2.0 \
+    --plot_loss \
+    --bf16 \
+    --gradient_checkpointing \
+    --report_to tensorboard \
+    --deepspeed deepspeed_configs/zero2.json \
+    --cutoff_len 2048