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#!/bin/bash
#To run in the background: ./run.sh > logs.txt 2>&1 &
MODEL_KEY=meta-llama/Meta-Llama-3-8B
MODEL_PATH=llama3-8B
LR=3e-6
EPOCH=4
SEQ_LEN=1280
WARMUP_RATIO=0.05
OUTPUT_DIR=results
DATASET_FILE=sanitized.jsonl
accelerate launch --config_file config.yaml -m star_align.train \
--model_key $MODEL_KEY \
--model_name_or_path $MODEL_PATH \
--use_flash_attention True \
--datafile_paths $DATASET_FILE \
--output_dir $OUTPUT_DIR \
--num_train_epochs $EPOCH \
--max_training_seq_length $SEQ_LEN \
--gradient_checkpointing \
--pad_to_max_length False \
--per_device_train_batch_size 2 \
--gradient_accumulation_steps 16 \
--group_by_length False \
--logging_steps 1 \
--log_level info \
--optim adafactor \
--max_grad_norm -1 \
--warmup_ratio $WARMUP_RATIO \
--learning_rate $LR \
--ddp_find_unused_parameters False \
--bf16 True \
--lr_scheduler_type linear \
--report_to wandb \
--save_steps 16 \
--save_total_limit 30
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