DeepSeek-Coder-main/finetune/train_local.sh

#!/bin/bash

# Create output directory
OUTPUT_DIR="./solana_model_output"
mkdir -p $OUTPUT_DIR

# Run training script
python finetune_deepseekcoder.py \
    --model_name_or_path "deepseek-ai/deepseek-coder-6.7b-instruct" \
    --data_path "./solana_1000_yourgpt.jsonl" \
    --output_dir $OUTPUT_DIR \
    --num_train_epochs 3 \
    --per_device_train_batch_size 4 \
    --gradient_accumulation_steps 4 \
    --learning_rate 2e-5 \
    --warmup_ratio 0.03 \
    --logging_steps 10 \
    --save_steps 100 \
    --save_total_limit 3 \
    --lr_scheduler_type "cosine" \
    --fp16 true \
    --report_to "wandb" \
    --overwrite_output_dir \
    --ddp_find_unused_parameters false \
    --gradient_checkpointing true