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