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#!/bin/bash
#SBATCH --job-name=apigen-fine-tune
#SBATCH --partition=hopper-prod
#SBATCH --qos=normal
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --gpus-per-node=8
#SBATCH --output=./logs/%x-%j.out
#SBATCH --err=./logs/%x-%j.err
#SBATCH --time=02-00:00:00
set -ex
module load cuda/12.1
source .venv/bin/activate
srun --nodes=1 --ntasks=1 --export=ALL,ACCELERATE_LOG_LEVEL=info accelerate launch --config_file examples/accelerate_configs/deepspeed_zero3.yaml examples/scripts/sft.py \
--run_name=Llama-3.2-1B-Instruct-APIGen-FC-v0.1 \
--model_name_or_path="meta-llama/Llama-3.2-1B-Instruct" \
--dataset_name="plaguss/apigen-synth-trl" \
--report_to="wandb" \
--learning_rate=5.0e-06 \
--lr_scheduler_type="cosine" \
--per_device_train_batch_size=6 \
--per_device_eval_batch_size=6 \
--do_eval \
--eval_strategy="steps" \
--gradient_accumulation_steps=2 \
--output_dir="data/Llama-3.2-1B-Instruct-APIGen-FC-v0.1" \
--logging_steps=5 \
--eval_steps=50 \
--num_train_epochs=2 \
--max_steps=-1 \
--warmup_steps=50 \
--max_seq_length=2048 \
--push_to_hub \
--gradient_checkpointing \
--bf16
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