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VTimeLLM/.vscode/launch.json

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+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Debug MDPO Training",
+            "type": "python",
+            "request": "launch",
+            "program": "${workspaceFolder}/scripts/train/debug_mdpo_train.sh",
+            "console": "integratedTerminal",
+            "cwd": "${workspaceFolder}",
+            "env": {
+                "PYTHONPATH": "${workspaceFolder}:${env:PYTHONPATH}",
+                "CUDA_VISIBLE_DEVICES": "1",
+                "TRANSFORMERS_OFFLINE": "1",
+                "WANDB_PROJECT": "vtimellm"
+            },
+            "args": [],
+            "justMyCode": false,
+            "stopOnEntry": false
+        },
+        {
+            "name": "Debug Python Training Direct",
+            "type": "python",
+            "request": "launch",
+            "module": "vtimellm.train.train_dpo_mem",
+            "console": "integratedTerminal",
+            "cwd": "${workspaceFolder}",
+            "env": {
+                "PYTHONPATH": "${workspaceFolder}:${env:PYTHONPATH}",
+                "CUDA_VISIBLE_DEVICES": "1",
+                "TRANSFORMERS_OFFLINE": "1",
+                "WANDB_PROJECT": "vtimellm",
+                "RANK": "1",
+                "MASTER_PORT": "29571"
+            },
+            "args": [
+                "--deepspeed", "./scripts/zero2.json",
+                "--lora_enable", "True",
+                "--lora_r", "8",
+                "--lora_alpha", "128",
+                "--training_stage", "3",
+                "--finetuning", "True",
+                "--model_name_or_path", "./checkpoints/vicuna-7b-v1.5",
+                "--version", "v1",
+                "--data_path", "./data/activitynet/mdpo-train.json",
+                "--data_folder", "./data/activitynet/videos/train",
+                "--feat_folder", "./data/activitynet/clipvitl14-vtimellm.pth",
+                "--pretrain_mm_mlp_adapter", "./checkpoints/vtimellm-vicuna-v1-5-7b-stage1/mm_projector.bin",
+                "--stage2_path", "./checkpoints/vtimellm-vicuna-v1-5-7b-stage2",
+                "--stage3_path", "./checkpoints/vtimellm-vicuna-v1-5-7b-stage3",
+                "--stage4_path", "checkpoints/vtimellm-vicuna-v1-5-7b-activitynet-stage4",
+                "--output_dir", "./outputs/vtimellm-vicuna-v1-5-7b-activitynet-stage5",
+                "--bf16", "True",
+                "--max_steps", "100",
+                "--per_device_train_batch_size", "2",
+                "--gradient_accumulation_steps", "4",
+                "--evaluation_strategy", "no",
+                "--save_strategy", "no",
+                "--save_steps", "50000",
+                "--save_total_limit", "10",
+                "--learning_rate", "1e-6",
+                "--freeze_mm_mlp_adapter", "True",
+                "--weight_decay", "0.",
+                "--warmup_ratio", "0.1",
+                "--lr_scheduler_type", "cosine",
+                "--logging_steps", "1",
+                "--tf32", "True",
+                "--model_max_length", "2048",
+                "--gradient_checkpointing", "True",
+                "--dataloader_num_workers", "4",
+                "--lazy_preprocess", "True",
+                "--report_to", "none",
+                "--run_name", "vtimellm-vicuna-v1-5-7b-activitynet-stage5",
+                "--gamma", "0.0",
+                "--beta", "0.5",
+                "--dpo_alpha", "1.0",
+                "--train4dpo"
+            ],
+            "justMyCode": false,
+            "stopOnEntry": false
+        },
+        {
+            "name": "Debug with DeepSpeed",
+            "type": "python",
+            "request": "launch",
+            "program": "${workspaceFolder}/scripts/train/debug_deepspeed.py",
+            "console": "integratedTerminal",
+            "cwd": "${workspaceFolder}",
+            "env": {
+                "PYTHONPATH": "${workspaceFolder}:${env:PYTHONPATH}",
+                "CUDA_VISIBLE_DEVICES": "1",
+                "TRANSFORMERS_OFFLINE": "1",
+                "WANDB_PROJECT": "vtimellm",
+                "RANK": "1",
+                "MASTER_PORT": "29571"
+            },
+            "args": [],
+            "justMyCode": false,
+            "stopOnEntry": false
+        }
+    ]
+}

VTimeLLM/.vscode/settings.json

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+{
+    "python.defaultInterpreterPath": "/home/jisoo/.conda/envs/vtimellm/bin/python",
+    "python.terminal.activateEnvironment": true,
+    "python.condaPath": "/home/jisoo/.conda/bin/conda",
+    "python.envFile": "${workspaceFolder}/.env",
+    "python.analysis.extraPaths": [
+        "${workspaceFolder}",
+        "${workspaceFolder}/vtimellm",
+        "${workspaceFolder}/vtimellm/train",
+        "${workspaceFolder}/vtimellm/model"
+    ],
+    "python.analysis.autoImportCompletions": true,
+    "python.analysis.typeCheckingMode": "basic",
+    "python.analysis.autoSearchPaths": true,
+    "python.analysis.diagnosticMode": "workspace",
+    "python.analysis.stubPath": "${workspaceFolder}/typings",
+    "python.linting.enabled": true,
+    "python.linting.pylintEnabled": false,
+    "python.linting.flake8Enabled": true,
+    "python.linting.mypyEnabled": false,
+    "python.formatting.provider": "black",
+    "python.sortImports.args": ["--profile", "black"],
+    "files.associations": {
+        "*.py": "python"
+    },
+    "terminal.integrated.env.linux": {
+        "PYTHONPATH": "${workspaceFolder}:${env:PYTHONPATH}",
+        "CUDA_VISIBLE_DEVICES": "1",
+        "TRANSFORMERS_OFFLINE": "1",
+        "WANDB_PROJECT": "vtimellm"
+    },
+    "terminal.integrated.defaultProfile.linux": "bash",
+    "terminal.integrated.profiles.linux": {
+        "bash": {
+            "path": "/bin/bash",
+            "args": ["-l"]
+        }
+    }
+}

VTimeLLM/data/activitynet/videos/val/v_Amgt0yzQido.mp4

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VTimeLLM/data/activitynet/videos/val/v_EVtM8DKW4bc.mp4

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VTimeLLM/data/activitynet/videos/val/v_dB50ZkOlDzY.mp4

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VTimeLLM/data/activitynet/videos/val/v_skIP_U4EYDQ.mp4

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VTimeLLM/data/activitynet/videos/val/v_xOmfJGR5fBw.mp4

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