script.sh

#!/usr/bin/env bash
#
# Copyright 2024 PKU-Alignment Team. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

export TRITON_CACHE_DIR="/home/align-anything/cache/triton"
# You can replace it with a local model path
MODEL_NAME_OR_PATH="/data/align-anything/hantao/models/0916_ti_to_ti_sft/"
# You can replace it with a local dataset path
TRAIN_DATASETS="/data/align-anything/hantao/align-anything/projects/text_image_to_text_image/outputs"
TRAIN_DATA_FILES="llf_ti2ti_13.5k_tokenized.pt"
# You can replace it with a new path
OUTPUT_DIR="../outputs/sft_tf_cham_1111_13.5k_ti2ti"
# For wandb online logging
export WANDB_API_KEY="7e2dcc0c310ebcb7cdcafd5e9320d6be55cf1a33"
# Source the setup script
source ./setup.sh

# sleep 30m
# Execute deepspeed command
deepspeed \
	--master_port ${MASTER_PORT} \
	--module align_anything.trainers.text_image_to_text_image.sft \
	--model_name_or_path ${MODEL_NAME_OR_PATH} \
	--train_datasets ${TRAIN_DATASETS} \
	--train_data_files ${TRAIN_DATA_FILES} \
	--output_dir ${OUTPUT_DIR} \
	--train_template AA_textfeedback \
	--train_split train \
	--per_device_train_batch_size 4 \
	--per_device_eval_batch_size 4 \
	--gradient_accumulation_steps 2 \
	--save_interval 400 \
	--learning_rate 1e-6 \
	--epochs 3 \
	--lr_scheduler_type cosine


export TRITON_CACHE_DIR="/home/align-anything/cache/triton"
# You can replace it with a local model path
MODEL_NAME_OR_PATH="/data/align-anything/hantao/models/0916_ti_to_ti_sft/"
# You can replace it with a local dataset path
TRAIN_DATASETS="/data/align-anything/hantao/align-anything/projects/text_image_to_text_image/outputs"
TRAIN_DATA_FILES="llf_ti2ti_6.75k_tokenized.pt"
# You can replace it with a new path
OUTPUT_DIR="../outputs/sft_tf_cham_1111_6.75k_ti2ti"
# For wandb online logging
export WANDB_API_KEY="7e2dcc0c310ebcb7cdcafd5e9320d6be55cf1a33"
# Source the setup script
source ./setup.sh

# sleep 30m
# Execute deepspeed command
deepspeed \
	--master_port ${MASTER_PORT} \
	--module align_anything.trainers.text_image_to_text_image.sft \
	--model_name_or_path ${MODEL_NAME_OR_PATH} \
	--train_datasets ${TRAIN_DATASETS} \
	--train_data_files ${TRAIN_DATA_FILES} \
	--output_dir ${OUTPUT_DIR} \
	--train_template AA_textfeedback \
	--train_split train \
	--per_device_train_batch_size 4 \
	--per_device_eval_batch_size 4 \
	--gradient_accumulation_steps 2 \
	--save_interval 400 \
	--learning_rate 1e-6 \
	--epochs 3 \
	--lr_scheduler_type cosine