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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+wandb/run-20250501_234121-mnztzlue/run-mnztzlue.wandb filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,202 @@
+---
+base_model: huggyllama/llama-7b
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.1

adapter_config.json

@@ -0,0 +1,43 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "LlamaForCausalLM",
+    "parent_library": "transformers.models.llama.modeling_llama"
+  },
+  "base_model_name_or_path": "huggyllama/llama-7b",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "lm_head",
+    "v_proj",
+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "k_proj"
+  ],
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02e875ed2566935c5fc6c69ab5734820d3ff9c291cfcec5e76ccf726d9b880c8
+size 282490008

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<pad>": 32000
+}

arguments.json

@@ -0,0 +1,60 @@
+{
+    "model_name_or_path": "huggyllama/llama-7b",
+    "recompute_baseline": false,
+    "cache_dir": "/home/panda/pda-llm/cache/sft-2000",
+    "max_length": 1024,
+    "trust_remote_code": true,
+    "train_datasets": [
+        [
+            "SAFE-ALPACA/2000",
+            {
+                "proportion": 1.0
+            }
+        ]
+    ],
+    "eval_datasets": null,
+    "safety_ratio_tol": 50.0,
+    "safe_sft": true,
+    "resilient_coeff": 1.0,
+    "epochs": 6,
+    "per_device_train_batch_size": 4,
+    "per_device_eval_batch_size": 4,
+    "gradient_accumulation_steps": 32,
+    "gradient_checkpointing": true,
+    "lr": 0.0001,
+    "lr_scheduler_type": "cosine",
+    "lr_warmup_ratio": 0.03,
+    "weight_decay": 0.0,
+    "seed": 42,
+    "fp16": true,
+    "bf16": false,
+    "tf32": true,
+    "lora_r": 4,
+    "lora_alpha": 16,
+    "lora_dropout": 0.05,
+    "eval_strategy": "epoch",
+    "eval_interval": 1000000,
+    "need_eval": true,
+    "eval_split_ratio": null,
+    "output_dir": "/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50",
+    "log_type": "wandb",
+    "log_dir": "/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50",
+    "log_project": "SAFE-SFT-v3",
+    "log_run_name": "safe-sft-2025-05-01-23-41-21",
+    "save_16bit": false,
+    "save_interval": 1000000,
+    "local_rank": 0,
+    "zero_stage": 0,
+    "offload": "none",
+    "deepspeed": false,
+    "deepspeed_config": null,
+    "deepscale": false,
+    "deepscale_config": null,
+    "global_rank": 0,
+    "device": {
+        "type": "torch.device",
+        "repr": "device(type='cuda', index=0)"
+    },
+    "num_update_steps_per_epoch": 86,
+    "total_training_steps": 516
+}

arguments.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8034d700dcbc93027399ccf5ddf3ec696207348abae1b6d2e62a2f1f7444369e
+size 1226

config.json

@@ -0,0 +1,33 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "huggyllama/llama-7b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 32000,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 32001
+}

environ.txt

@@ -0,0 +1,61 @@
+BROWSER=/home/panda/.vscode-server/cli/servers/Stable-cd4ee3b1c348a13bafd8f9ad8060705f6d4b9cba/server/bin/helpers/browser.sh
+COLORTERM=truecolor
+CONDA_DEFAULT_ENV=pda
+CONDA_EXE=/home/panda/miniconda3/bin/conda
+CONDA_PREFIX=/home/panda/miniconda3/envs/pda
+CONDA_PREFIX_1=/home/panda/miniconda3
+CONDA_PROMPT_MODIFIER=(pda) 
+CONDA_PYTHON_EXE=/home/panda/miniconda3/bin/python
+CONDA_SHLVL=2
+CROSS_RANK=0
+CROSS_SIZE=1
+CUDA_MODULE_LOADING=LAZY
+CUDA_VISIBLE_DEVICES=0,1
+DBUS_SESSION_BUS_ADDRESS=unix:path=/run/user/1010/bus
+GIT_ASKPASS=/home/panda/.vscode-server/cli/servers/Stable-cd4ee3b1c348a13bafd8f9ad8060705f6d4b9cba/server/extensions/git/dist/askpass.sh
+HOME=/home/panda
+LANG=en_US.UTF-8
+LESSCLOSE=/usr/bin/lesspipe %s %s
+LESSOPEN=| /usr/bin/lesspipe %s
+LOCAL_RANK=0
+LOCAL_SIZE=2
+LOGLEVEL=WARNING
+LOGNAME=panda
+LS_COLORS=rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=00:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:*.tar=01;31:*.tgz=01;31:*.arc=01;31:*.arj=01;31:*.taz=01;31:*.lha=01;31:*.lz4=01;31:*.lzh=01;31:*.lzma=01;31:*.tlz=01;31:*.txz=01;31:*.tzo=01;31:*.t7z=01;31:*.zip=01;31:*.z=01;31:*.dz=01;31:*.gz=01;31:*.lrz=01;31:*.lz=01;31:*.lzo=01;31:*.xz=01;31:*.zst=01;31:*.tzst=01;31:*.bz2=01;31:*.bz=01;31:*.tbz=01;31:*.tbz2=01;31:*.tz=01;31:*.deb=01;31:*.rpm=01;31:*.jar=01;31:*.war=01;31:*.ear=01;31:*.sar=01;31:*.rar=01;31:*.alz=01;31:*.ace=01;31:*.zoo=01;31:*.cpio=01;31:*.7z=01;31:*.rz=01;31:*.cab=01;31:*.wim=01;31:*.swm=01;31:*.dwm=01;31:*.esd=01;31:*.jpg=01;35:*.jpeg=01;35:*.mjpg=01;35:*.mjpeg=01;35:*.gif=01;35:*.bmp=01;35:*.pbm=01;35:*.pgm=01;35:*.ppm=01;35:*.tga=01;35:*.xbm=01;35:*.xpm=01;35:*.tif=01;35:*.tiff=01;35:*.png=01;35:*.svg=01;35:*.svgz=01;35:*.mng=01;35:*.pcx=01;35:*.mov=01;35:*.mpg=01;35:*.mpeg=01;35:*.m2v=01;35:*.mkv=01;35:*.webm=01;35:*.ogm=01;35:*.mp4=01;35:*.m4v=01;35:*.mp4v=01;35:*.vob=01;35:*.qt=01;35:*.nuv=01;35:*.wmv=01;35:*.asf=01;35:*.rm=01;35:*.rmvb=01;35:*.flc=01;35:*.avi=01;35:*.fli=01;35:*.flv=01;35:*.gl=01;35:*.dl=01;35:*.xcf=01;35:*.xwd=01;35:*.yuv=01;35:*.cgm=01;35:*.emf=01;35:*.ogv=01;35:*.ogx=01;35:*.aac=00;36:*.au=00;36:*.flac=00;36:*.m4a=00;36:*.mid=00;36:*.midi=00;36:*.mka=00;36:*.mp3=00;36:*.mpc=00;36:*.ogg=00;36:*.ra=00;36:*.wav=00;36:*.oga=00;36:*.opus=00;36:*.spx=00;36:*.xspf=00;36:
+MASTER_ADDR=127.0.0.1
+MASTER_PORT=24428
+MOTD_SHOWN=pam
+OLDPWD=/home/panda/pda-llm
+PATH=/home/panda/miniconda3/envs/pda/bin:/home/panda/miniconda3/condabin:/home/panda/.local/bin:/home/panda/miniconda3/envs/pda/bin:/home/panda/.vscode-server/cli/servers/Stable-cd4ee3b1c348a13bafd8f9ad8060705f6d4b9cba/server/bin/remote-cli:/home/panda/.local/bin:/home/panda/miniconda3/envs/pda/bin:/home/panda/miniconda3/condabin:/home/panda/.cargo/bin:/home/panda/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/home/panda/.vscode-server/extensions/ms-python.debugpy-2025.6.0-linux-x64/bundled/scripts/noConfigScripts:/home/panda/.vscode-server/data/User/globalStorage/github.copilot-chat/debugCommand
+PWD=/home/panda/pda-llm/scripts
+PYTHONHASHSEED=42
+PYTHONPATH=/home/panda/pda-llm
+RANK=0
+SHELL=/bin/sh
+SHLVL=3
+SSH_CLIENT=10.103.69.12 53248 22
+SSH_CONNECTION=10.103.69.12 50318 158.130.111.235 22
+SSL_CERT_DIR=/usr/lib/ssl/certs
+SSL_CERT_FILE=/usr/lib/ssl/certs/ca-certificates.crt
+TERM=screen
+TERM_PROGRAM=vscode
+TERM_PROGRAM_VERSION=1.96.4
+TMUX=/tmp//tmux-1010/default,2905761,12
+TMUX_PANE=%12
+USER=panda
+VSCODE_GIT_ASKPASS_EXTRA_ARGS=
+VSCODE_GIT_ASKPASS_MAIN=/home/panda/.vscode-server/cli/servers/Stable-cd4ee3b1c348a13bafd8f9ad8060705f6d4b9cba/server/extensions/git/dist/askpass-main.js
+VSCODE_GIT_ASKPASS_NODE=/home/panda/.vscode-server/cli/servers/Stable-cd4ee3b1c348a13bafd8f9ad8060705f6d4b9cba/server/node
+VSCODE_GIT_IPC_HANDLE=/run/user/1010/vscode-git-1d8b0ea871.sock
+VSCODE_IPC_HOOK_CLI=/run/user/1010/vscode-ipc-34f3fe5d-87d6-4842-b67c-b7ef4efae672.sock
+WANDB_API_KEY=6a71e7fad84fe1aa8f6ccaa01e4e02fcf4c7ffb4
+WANDB_ENTITY=alelab
+WANDB_MODE=online
+WANDB_SERVICE=2-2003561-tcp-localhost-35299
+WORLD_SIZE=2
+XDG_DATA_DIRS=/usr/local/share:/usr/share:/var/lib/snapd/desktop
+XDG_RUNTIME_DIR=/run/user/1010
+XDG_SESSION_CLASS=user
+XDG_SESSION_ID=1150
+XDG_SESSION_TYPE=tty
+_=/home/panda/miniconda3/envs/pda/bin/deepspeed

script.sh

@@ -0,0 +1,198 @@
+#!/usr/bin/env bash
+#
+# Copyright 2023-2024 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.
+# ==============================================================================
+
+if [ -z "${BASH_VERSION}" ]; then
+	echo "Please use bash to run this script." >&2
+	exit 1
+fi
+
+set -x
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" &>/dev/null && pwd)"
+ROOT_DIR="$(dirname "${SCRIPT_DIR}")"
+export PYTHONPATH="${ROOT_DIR}${PYTHONPATH:+:${PYTHONPATH}}"
+export LOGLEVEL="${LOGLEVEL:-WARNING}"
+export WANDB_MODE=online
+export WANDB_ENTITY="alelab"
+
+MODEL_NAME_OR_PATH="huggyllama/llama-7b"
+timestamp="$(date +%Y%m%d-%H%M%S)"
+unset HOSTFILE
+ZERO_STAGE=0
+OFFLOAD="none"
+SAFE_SFT=False
+# GRIDSEARCH PARAMS
+SAFETY_RATIO_TOL=10
+RESILIENT_COEFF=1
+LEARNING_RATE=1e-4
+NUM_SAFETY_SAMPLES="100"
+
+while [[ "$#" -gt 0 ]]; do
+	arg="$1"
+	shift
+	case "${arg}" in
+		--model_name_or_path)
+			MODEL_NAME_OR_PATH="$1"
+			shift
+			;;
+		--model_name_or_path=*)
+			MODEL_NAME_OR_PATH="${arg#*=}"
+			;;
+		--output_dir)
+			OUTPUT_DIR="$1"
+			shift
+			;;
+		--output_dir=*)
+			OUTPUT_DIR="${arg#*=}"
+			;;
+		--hostfile)
+			HOSTFILE="$1"
+			shift
+			;;
+		--hostfile=*)
+			HOSTFILE="${arg#*=}"
+			;;
+		--zero_stage)
+			ZERO_STAGE="$1"
+			shift
+			;;
+		--zero_stage=*)
+			ZERO_STAGE="${arg#*=}"
+			;;
+		--offload)
+			OFFLOAD="$1"
+			shift
+			;;
+		--offload=*)
+			OFFLOAD="${arg#*=}"
+			;;
+		--safety_ratio_tol)
+			SAFETY_RATIO_TOL="$1"
+			shift
+			;;
+		--safety_ratio_tol=*)
+			SAFETY_RATIO_TOL="${arg#*=}"
+			;;
+		--resilient_coeff)
+			RESILIENT_COEFF="$1"
+			shift
+			;;
+		--resilient_coeff=*)
+			RESILIENT_COEFF="${arg#*=}"
+			;;
+		--learning_rate)
+			LEARNING_RATE="$1"
+			shift
+			;;
+		--learning_rate=*)
+			LEARNING_RATE="${arg#*=}"
+			;;
+		--safe_sft)
+			SAFE_SFT="$1"
+			shift
+			;;
+		--safe_sft=*)
+			SAFE_SFT="${arg#*=}"
+			;;
+		--num_safety_samples)
+			NUM_SAFETY_SAMPLES="$1"
+			shift
+			;;
+		--num_safety_samples=*)
+			NUM_SAFETY_SAMPLES="${arg#*=}"
+			;;
+		*)
+			echo "Unknown parameter passed: '${arg}'" >&2
+			exit 1
+			;;
+	esac
+done
+
+OUTPUT_DIR="${ROOT_DIR}/output/sft-safe/${NUM_SAFETY_SAMPLES}/run-${SAFE_SFT}-${NUM_SAFETY_SAMPLES}-${RESILIENT_COEFF}-${SAFETY_RATIO_TOL}"
+mkdir -p "${OUTPUT_DIR}"
+OUTPUT_DIR="$(cd "${OUTPUT_DIR}" &>/dev/null && pwd)"
+if [[ ! -f "${OUTPUT_DIR}/.gitignore" ]]; then
+	echo '*' >"${OUTPUT_DIR}/.gitignore"
+fi
+
+cp -f "$0" "${OUTPUT_DIR}/script.sh"
+
+export WANDB_API_KEY="6a71e7fad84fe1aa8f6ccaa01e4e02fcf4c7ffb4"
+if [[ -z "${WANDB_API_KEY}" ]]; then
+	export WANDB_MODE="offline"
+fi
+
+MASTER_PORT_START=10000
+MASTER_PORT_END=65535
+MASTER_PORT="$(
+	comm -23 \
+		<(seq "${MASTER_PORT_START}" "${MASTER_PORT_END}" | sort) \
+		<(ss -Htan | awk '{ print $4 }' | awk -F ':' '{ print $NF }' | sort -u) |
+		shuf | head -n 1
+)"
+
+DEEPSPEED_ARGS=()
+if [[ -n "${HOSTFILE+x}" ]]; then
+	DEEPSPEED_ARGS+=("--hostfile" "${HOSTFILE}")
+fi
+DEEPSPEED_ARGS+=("--master_port" "${MASTER_PORT}")
+
+exec 1> >(tee "${OUTPUT_DIR}/stdout.log" >&1) 2> >(tee "${OUTPUT_DIR}/stderr.log" >&2)
+echo "--------- Environment sanity check ---------"
+echo "shell:        $0 running under bash $BASH_VERSION"
+echo "conda env:    ${CONDA_DEFAULT_ENV:-<none>}"
+echo "python:       $(which python)"
+python - <<'PY'
+import sys, os
+print("sys.executable :", sys.executable)
+print("python version :", sys.version.split()[0])
+print("CONDA_PREFIX   :", os.environ.get("CONDA_PREFIX"))
+PY
+echo "deepspeed:    $(command -v deepspeed)"
+echo "--------------------------------------------"
+
+CUDA_VISIBLE_DEVICES=0,1 deepspeed "${DEEPSPEED_ARGS[@]}" \
+	--module safe_rlhf.algorithms.safe_ft \
+	--train_datasets "SAFE-ALPACA/${NUM_SAFETY_SAMPLES}" \
+	--model_name_or_path "${MODEL_NAME_OR_PATH}" \
+	--cache_dir "${ROOT_DIR}/cache/sft-${NUM_SAFETY_SAMPLES}" \
+	--safe_sft "${SAFE_SFT}"	 \
+	--max_length 1024 \
+	--trust_remote_code True \
+	--epochs 6 \
+	--per_device_train_batch_size 4 \
+	--per_device_eval_batch_size 4 \
+	--gradient_accumulation_steps 32 \
+	--gradient_checkpointing \
+	--learning_rate  "${LEARNING_RATE}" \
+	--lr_scheduler_type cosine \
+	--lr_warmup_ratio 0.03 \
+	--weight_decay 0.0 \
+	--seed 42 \
+	--output_dir "${OUTPUT_DIR}" \
+	--log_type wandb \
+	--log_project SAFE-SFT-v3 \
+	--zero_stage "${ZERO_STAGE}" \
+	--offload "${OFFLOAD}" \
+	--safety_ratio_tol "${SAFETY_RATIO_TOL}" \
+	--resilient_coeff "${RESILIENT_COEFF}" \
+	--lora_r "4" \
+	--lora_alpha "16" \
+	--lora_dropout "0.05" \
+	--bf16 False \
+	--fp16 True \
+	--tf32 True

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

stdout.log

@@ -0,0 +1,54 @@
+--------- Environment sanity check ---------
+shell:        ./sft-safe.sh running under bash 5.0.17(1)-release
+conda env:    pda
+python:       /home/panda/miniconda3/envs/pda/bin/python
+sys.executable : /home/panda/miniconda3/envs/pda/bin/python
+python version : 3.11.11
+CONDA_PREFIX   : /home/panda/miniconda3/envs/pda
+deepspeed:    /home/panda/miniconda3/envs/pda/bin/deepspeed
+--------------------------------------------
+[2025-05-01 23:40:58,399] [INFO] [real_accelerator.py:239:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-05-01 23:41:00,143] [WARNING] [runner.py:215:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
+Detected VISIBLE_DEVICES=0,1: setting --include=localhost:0,1
+[2025-05-01 23:41:00,143] [INFO] [runner.py:605:main] cmd = /home/panda/miniconda3/envs/pda/bin/python -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMCwgMV19 --master_addr=127.0.0.1 --master_port=24428 --module --enable_each_rank_log=None safe_rlhf.algorithms.safe_ft --train_datasets SAFE-ALPACA/2000 --model_name_or_path huggyllama/llama-7b --cache_dir /home/panda/pda-llm/cache/sft-2000 --safe_sft true --max_length 1024 --trust_remote_code True --epochs 6 --per_device_train_batch_size 4 --per_device_eval_batch_size 4 --gradient_accumulation_steps 32 --gradient_checkpointing --learning_rate 1e-4 --lr_scheduler_type cosine --lr_warmup_ratio 0.03 --weight_decay 0.0 --seed 42 --output_dir /home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50 --log_type wandb --log_project SAFE-SFT-v3 --zero_stage 0 --offload none --safety_ratio_tol 50 --resilient_coeff 1 --lora_r 4 --lora_alpha 16 --lora_dropout 0.05 --bf16 False --fp16 True --tf32 True
+[2025-05-01 23:41:01,337] [INFO] [real_accelerator.py:239:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-05-01 23:41:03,051] [INFO] [launch.py:146:main] WORLD INFO DICT: {'localhost': [0, 1]}
+[2025-05-01 23:41:03,051] [INFO] [launch.py:152:main] nnodes=1, num_local_procs=2, node_rank=0
+[2025-05-01 23:41:03,051] [INFO] [launch.py:163:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0, 1]})
+[2025-05-01 23:41:03,051] [INFO] [launch.py:164:main] dist_world_size=2
+[2025-05-01 23:41:03,051] [INFO] [launch.py:168:main] Setting CUDA_VISIBLE_DEVICES=0,1
+[2025-05-01 23:41:03,052] [INFO] [launch.py:256:main] process 2003561 spawned with command: ['/home/panda/miniconda3/envs/pda/bin/python', '-u', '-m', 'safe_rlhf.algorithms.safe_ft', '--local_rank=0', '--train_datasets', 'SAFE-ALPACA/2000', '--model_name_or_path', 'huggyllama/llama-7b', '--cache_dir', '/home/panda/pda-llm/cache/sft-2000', '--safe_sft', 'true', '--max_length', '1024', '--trust_remote_code', 'True', '--epochs', '6', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '32', '--gradient_checkpointing', '--learning_rate', '1e-4', '--lr_scheduler_type', 'cosine', '--lr_warmup_ratio', '0.03', '--weight_decay', '0.0', '--seed', '42', '--output_dir', '/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50', '--log_type', 'wandb', '--log_project', 'SAFE-SFT-v3', '--zero_stage', '0', '--offload', 'none', '--safety_ratio_tol', '50', '--resilient_coeff', '1', '--lora_r', '4', '--lora_alpha', '16', '--lora_dropout', '0.05', '--bf16', 'False', '--fp16', 'True', '--tf32', 'True']
+[2025-05-01 23:41:03,053] [INFO] [launch.py:256:main] process 2003562 spawned with command: ['/home/panda/miniconda3/envs/pda/bin/python', '-u', '-m', 'safe_rlhf.algorithms.safe_ft', '--local_rank=1', '--train_datasets', 'SAFE-ALPACA/2000', '--model_name_or_path', 'huggyllama/llama-7b', '--cache_dir', '/home/panda/pda-llm/cache/sft-2000', '--safe_sft', 'true', '--max_length', '1024', '--trust_remote_code', 'True', '--epochs', '6', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '32', '--gradient_checkpointing', '--learning_rate', '1e-4', '--lr_scheduler_type', 'cosine', '--lr_warmup_ratio', '0.03', '--weight_decay', '0.0', '--seed', '42', '--output_dir', '/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50', '--log_type', 'wandb', '--log_project', 'SAFE-SFT-v3', '--zero_stage', '0', '--offload', 'none', '--safety_ratio_tol', '50', '--resilient_coeff', '1', '--lora_r', '4', '--lora_alpha', '16', '--lora_dropout', '0.05', '--bf16', 'False', '--fp16', 'True', '--tf32', 'True']
+[2025-05-01 23:41:04,217] [INFO] [real_accelerator.py:239:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-05-01 23:41:04,228] [INFO] [real_accelerator.py:239:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-05-01 23:41:07,119] [INFO] [comm.py:658:init_distributed] cdb=None
+[2025-05-01 23:41:07,132] [INFO] [comm.py:658:init_distributed] cdb=None
+[2025-05-01 23:41:07,132] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
+Set logger level to WARNING.
+calculating baseline ...
+calculating baseline ...
+Loading cached baseline logprobs from /home/panda/pda-llm/cache/sft-2000/cached_baseline_logprobs.pt
+Loaded cached baseline logprobs successfully
+ninja: no work to do.
+Time to load fused_adam op: 0.03461647033691406 seconds
+Time to load fused_adam op: 0.10099267959594727 seconds
+***** Running training *****
+
+***** Evaluating at the beginning *****
+
+***** Evaluating at epoch 1/6 *****
+
+***** Evaluating at epoch 2/6 *****
+
+***** Evaluating at epoch 3/6 *****
+
+***** Evaluating at epoch 4/6 *****
+
+***** Evaluating at epoch 5/6 *****
+
+***** Evaluating at epoch 6/6 *****
+Saving model to "/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50" ...
+Saving Hugging Face Checkpoints...
+Model saved!
+[2025-05-02 02:19:17,247] [INFO] [launch.py:351:main] Process 2003562 exits successfully.
+[2025-05-02 02:19:19,248] [INFO] [launch.py:351:main] Process 2003561 exits successfully.

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,52 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif false == true and not '<<SYS>>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\\n\\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don\\'t know the answer to a question, please don\\'t share false information.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\\n' + content.strip() + '\\n<</SYS>>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1024,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

wandb/debug-internal.log

@@ -0,0 +1,18 @@
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+{"time":"2025-05-01T23:41:21.983526965-04:00","level":"INFO","msg":"sender: started","stream_id":"mnztzlue"}
+{"time":"2025-05-01T23:41:22.187903897-04:00","level":"INFO","msg":"Starting system monitor"}
+{"time":"2025-05-01T23:41:22.187952259-04:00","level":"WARN","msg":"handleCodeSave: program relative path is empty"}
+{"time":"2025-05-01T23:41:22.188022-04:00","level":"ERROR","msg":"git repo not found","error":"repository does not exist"}
+{"time":"2025-05-02T02:19:15.097354071-04:00","level":"INFO","msg":"Stopping system monitor"}
+{"time":"2025-05-02T02:19:15.097443643-04:00","level":"INFO","msg":"Stopped system monitor"}
+{"time":"2025-05-02T02:19:15.509498877-04:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2025-05-02T02:19:15.787116426-04:00","level":"INFO","msg":"handler: operation stats","stats":{}}
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+{"time":"2025-05-02T02:19:15.794231637-04:00","level":"INFO","msg":"writer: Close: closed","stream_id":"mnztzlue"}
+{"time":"2025-05-02T02:19:15.794259508-04:00","level":"INFO","msg":"sender: closed","stream_id":"mnztzlue"}
+{"time":"2025-05-02T02:19:15.79433182-04:00","level":"INFO","msg":"stream: closed","id":"mnztzlue"}

wandb/debug.log

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+2025-05-01 23:41:21,790 INFO    MainThread:2003561 [wandb_setup.py:_flush():67] Current SDK version is 0.19.9
+2025-05-01 23:41:21,790 INFO    MainThread:2003561 [wandb_setup.py:_flush():67] Configure stats pid to 2003561
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_setup.py:_flush():67] Loading settings from /home/panda/.config/wandb/settings
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_setup.py:_flush():67] Loading settings from /home/panda/pda-llm/scripts/wandb/settings
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_setup.py:_flush():67] Loading settings from environment variables
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_init.py:setup_run_log_directory():662] Logging user logs to /home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50/wandb/run-20250501_234121-mnztzlue/logs/debug.log
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_init.py:setup_run_log_directory():663] Logging internal logs to /home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50/wandb/run-20250501_234121-mnztzlue/logs/debug-internal.log
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_init.py:init():781] calling init triggers
+2025-05-01 23:41:21,791 INFO    MainThread:2003561 [wandb_init.py:init():786] wandb.init called with sweep_config: {}
+config: {'model_name_or_path': 'huggyllama/llama-7b', 'recompute_baseline': False, 'cache_dir': '/home/panda/pda-llm/cache/sft-2000', 'max_length': 1024, 'trust_remote_code': True, 'train_datasets': [('SAFE-ALPACA/2000', {'proportion': 1.0})], 'eval_datasets': None, 'safety_ratio_tol': 50.0, 'safe_sft': True, 'resilient_coeff': 1.0, 'epochs': 6, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'gradient_accumulation_steps': 32, 'gradient_checkpointing': True, 'lr': 0.0001, 'lr_scheduler_type': <SchedulerType.COSINE: 'cosine'>, 'lr_warmup_ratio': 0.03, 'weight_decay': 0.0, 'seed': 42, 'fp16': True, 'bf16': False, 'tf32': True, 'lora_r': 4, 'lora_alpha': 16, 'lora_dropout': 0.05, 'eval_strategy': 'epoch', 'eval_interval': 1000000, 'need_eval': True, 'eval_split_ratio': None, 'output_dir': '/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50', 'log_type': 'wandb', 'log_dir': '/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50', 'log_project': 'SAFE-SFT-v3', 'log_run_name': 'safe-sft-2025-05-01-23-41-21', 'save_16bit': False, 'save_interval': 1000000, 'local_rank': 0, 'zero_stage': 0, 'offload': 'none', 'deepspeed': False, 'deepspeed_config': None, 'deepscale': False, 'deepscale_config': None, 'global_rank': 0, 'device': device(type='cuda', index=0), 'num_update_steps_per_epoch': 86, 'total_training_steps': 516, '_wandb': {}}
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+2025-05-02 02:19:15,095 INFO    MainThread:2003561 [wandb_run.py:_finish():2189] finishing run alelab/SAFE-SFT-v3/mnztzlue
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+2025-05-02 02:19:15,096 INFO    MainThread:2003561 [wandb_run.py:_restore():2407] restore done
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wandb/run-20250501_234121-mnztzlue/files/config.yaml

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+_wandb:
+    value:
+        cli_version: 0.19.9
+        m: []
+        python_version: 3.11.11
+        t:
+            "1":
+                - 1
+                - 11
+                - 49
+                - 51
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+            "5": 0.19.9
+            "6": 4.49.0
+            "8":
+                - 5
+            "12": 0.19.9
+            "13": linux-x86_64
+bf16:
+    value: false
+cache_dir:
+    value: /home/panda/pda-llm/cache/sft-2000
+deepscale:
+    value: false
+deepscale_config:
+    value: null
+deepspeed:
+    value: false
+deepspeed_config:
+    value: null
+device:
+    value: cuda:0
+epochs:
+    value: 6
+eval_datasets:
+    value: null
+eval_interval:
+    value: 1000000
+eval_split_ratio:
+    value: null
+eval_strategy:
+    value: epoch
+fp16:
+    value: true
+global_rank:
+    value: 0
+gradient_accumulation_steps:
+    value: 32
+gradient_checkpointing:
+    value: true
+local_rank:
+    value: 0
+log_dir:
+    value: /home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50
+log_project:
+    value: SAFE-SFT-v3
+log_run_name:
+    value: safe-sft-2025-05-01-23-41-21
+log_type:
+    value: wandb
+lora_alpha:
+    value: 16
+lora_dropout:
+    value: 0.05
+lora_r:
+    value: 4
+lr:
+    value: 0.0001
+lr_scheduler_type:
+    value: COSINE
+lr_warmup_ratio:
+    value: 0.03
+max_length:
+    value: 1024
+model_name_or_path:
+    value: huggyllama/llama-7b
+need_eval:
+    value: true
+num_update_steps_per_epoch:
+    value: 86
+offload:
+    value: none
+output_dir:
+    value: /home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50
+per_device_eval_batch_size:
+    value: 4
+per_device_train_batch_size:
+    value: 4
+recompute_baseline:
+    value: false
+resilient_coeff:
+    value: 1
+safe_sft:
+    value: true
+safety_ratio_tol:
+    value: 50
+save_16bit:
+    value: false
+save_interval:
+    value: 1000000
+seed:
+    value: 42
+tf32:
+    value: true
+total_training_steps:
+    value: 516
+train_datasets:
+    value:
+        - - SAFE-ALPACA/2000
+          - proportion: 1
+trust_remote_code:
+    value: true
+weight_decay:
+    value: 0
+zero_stage:
+    value: 0

wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_0_d4da849d7b84c3e060a1.table.json

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wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_11000_4b44a0422e47c01c400c.table.json

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wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_13750_c953298b8695133a3e78.table.json

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wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_16500_634f1134bf7f82ef4ca0.table.json

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wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_2750_994e4be91c14333ca702.table.json

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wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_5500_861677959dce1a4543ee.table.json

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wandb/run-20250501_234121-mnztzlue/files/media/table/eval/table_8250_4e5fe6a7c4a9257ae601.table.json

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wandb/run-20250501_234121-mnztzlue/files/output.log

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+***** Running training *****
+Training 6/6 epoch (loss 1.0438): 100%|██████████| 16500/16500 [2:37:51<00:00,  1.74it/s]   
+
+***** Evaluating at the beginning *****
+
+***** Evaluating at epoch 1/6 *****
+
+***** Evaluating at epoch 2/6 *****
+
+***** Evaluating at epoch 3/6 *****
+
+***** Evaluating at epoch 4/6 *****
+
+***** Evaluating at epoch 5/6 *****
+
+***** Evaluating at epoch 6/6 *****
+Saving model to "/home/panda/pda-llm/output/sft-safe/2000/run-true-2000-1-50" ...
+Saving Hugging Face Checkpoints...
+/home/panda/miniconda3/envs/pda/lib/python3.11/site-packages/peft/utils/save_and_load.py:220: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+Model saved!

wandb/run-20250501_234121-mnztzlue/files/requirements.txt

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