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#!/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
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