{
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  "python":  "CPython 3.10.12",
  "startedAt":  "2024-12-14T10:02:20.994023Z",
  "args":  [
    "--lm_path",
    "microsoft/Phi-3-mini-4k-instruct",
    "--tokenizer_path",
    "microsoft/Phi-3-mini-4k-instruct",
    "--conv_template_name",
    "phi_3",
    "--vision_encoder_path",
    "google/siglip-so400m-patch14-384",
    "--vision_encoder_pretrained",
    "google",
    "--model_family",
    "xgenmm_v1",
    "--num_vision_tokens",
    "128",
    "--pretrained",
    "/mnt/xgen-mm/xgen-mm-phi3-mini-base-r-v1.5.pt",
    "--data_path",
    "/mnt/xgen-mm/LAVIS/data_configs/example_data_config.yaml",
    "--data_sampler_group_by_length",
    "--image_aspect_ratio",
    "anyres",
    "--anyres_patch_sampling",
    "--batch_size",
    "8",
    "--fsdp",
    "--no_save_optim_state",
    "--gradient_checkpointing",
    "--fsdp_sharding_strategy",
    "hybrid",
    "--workers",
    "4",
    "--num_epochs",
    "1",
    "--warmup_steps",
    "2000",
    "--learning_rate",
    "2e-5",
    "--weight_decay",
    "0.0",
    "--lr_scheduler",
    "cosine",
    "--precision",
    "amp_bf16",
    "--report_to_wandb",
    "--wandb_project",
    "blip3-xgenmm-finetune",
    "--run_name",
    "finetune-xgenmmv1-phi3_4k_instruct-example_data_config"
  ],
  "program":  "/mnt/xgen-mm/LAVIS/open_flamingo/train/instruction_finetune.py",
  "codePath":  "open_flamingo/train/instruction_finetune.py",
  "git":  {
    "remote":  "https://ghp.ci/github.com/salesforce/LAVIS.git",
    "commit":  "d699f7e54fbe7072c1fbef3b61a4f5e6d3591bd3"
  },
  "email":  "2470381734@qq.com",
  "root":  "/mnt/xgen-mm/LAVIS",
  "host":  "K100-AI02",
  "executable":  "/usr/local/bin/python",
  "codePathLocal":  "open_flamingo/train/instruction_finetune.py",
  "cpu_count":  88,
  "cpu_count_logical":  176,
  "disk":  {
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  "memory":  {
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}