{
  // Base config for PreAlignSLM multi-task training (SenseVoice semantic encoder)
  // Override with experiment-specific configs for LoRA/finetune/frozen variants
  "trainer_type": "ARCaptionTrainer",
  "datasets_type": "parquet_list_dataset_multitask_slm",
  "synthesizer_type": "SLMSynthesizer",
  "data": {
    "audio": {
      "sample_rate": 16000
    },
    // data.path supports dict format for multi-task:
    //   {"asr": ["path/to/ASR.list"], "ser": ["path/to/SER.list"], ...}
    // or list format (task auto-inferred from filename):
    //   ["path/to/ASR_LibriSpeech.list", "path/to/SER_IEMOCAP.list", ...]
    //
    // After running Phase 0.5 caption generation (generate_captions.sh),
    // use the captioned list files below. The captioned parquets contain
    // an `acoustic_caption` field per segment, enabling speech+text joint
    // input for the ArCap acoustic branch (Scenario 1: fast forced-alignment).
    //
    // Original (no acoustic captions — acoustic branch receives empty text):
    //   "asr": ["/cpfs/user/lianshi/data/datalist/all/ASR_LibriSpeech.list"],
    //   "ser": ["/cpfs/user/lianshi/data/datalist/all/SER_IEMOCAP.list",
    //           "/cpfs/user/lianshi/data/datalist/all/SER_ESD.list"],
    //   "gr":  ["external_data/GR_combined.list"],
    //   "st":  ["external_data/ST_MuST-C.list"]
    "path": {
      "asr": ["/cpfs/user/bohanli/workspace/Alalm/external_data/captioned/ASR_LibriSpeech_captioned.list"],
      "ser": ["/cpfs/user/bohanli/workspace/Alalm/external_data/captioned/SER_combined_captioned.list"],
      "gr": ["/cpfs/user/bohanli/workspace/Alalm/external_data/captioned/GR_combined_captioned.list"],
      "st": ["/cpfs/user/bohanli/workspace/Alalm/external_data/captioned/ST_MuST-C_captioned.list"]
    },
    "splits": "999,1",
    "dataset_conf": {
      "parse_conf": {
        "sample_rate": 16000,
        "high_order_resample": false,
        "seed": 1234,
        "use_audio": true,
        "row_group_batch_size": 256
      },
      "filter_conf": {
        "max_duration": 30.0,
        "min_duration": 0.2
      },
      "pad_multiple": true,
      "pad_multiple_conf": {
        "multiple_of": 3840
      },
      "shuffle": true,
      "shuffle_conf": {
        "shuffle_size": 2000
      },
      "sort": true,
      "sort_conf": {
        "sort_size": 500
      },
      "batch_conf": {
        "batch_type": "static",
        "batch_size": 4
      }
    },
    "num_workers": 8,
    "persistent_workers": true,
    "pin_memory": true,
    "prefetch_factor": 32
  },
  "model": {
    "type": "PreAlignSLM",
    "semantic_encoder_type": "sensevoice",
    "semantic_model_path": "/root/.cache/modelscope/hub/models/iic/SenseVoiceSmall",
    "stage0_projector_ckpt": "/cpfs/user/bohanli/workspace/Alalm/egs/arcap_slm/stage0_asr_projector/checkpoints/model-170000.pt",
    // Text-only noise params
    "drop_prob": 0.05,
    "insert_prob": 0.0,
    "smooth_low": 0.0,
    "smooth_high": 0.1,
    // LLM config (override llm_model_path for 0.5B vs 1.5B)
    "LLM": {
      "llm_model_path": "/cpfs/user/lianshi/pretrained_models/llms/Qwen2.5-1.5B"
    },
    // Finetune defaults: frozen LLM (override in exp configs)
    "finetune_llm": false,
    "use_lora": false,
    // Acoustic encoder (CLSPArCap for paralinguistic features)
    "acoustic_recog_encoder": {
      "type": "arcap",
      "clsp_model_path": "yfyeung/CLSP",
      "llm_model_path": "/cpfs/user/lianshi/pretrained_models/llms/Qwen2.5-0.5B",
      "pretrained_ckpt": "/cpfs/user/bohanli/workspace/Alalm/egs/arcap/arcap_prefix10_reg1.0_textprob0.5/checkpoints/model-900000.pt",
      "load_strict": false,
      "caption_token": "<caption>",
      "prefix_length": 10,
      "finetune_llm": false,
      "reg_loss_weight": 1.0,
      "use_text_prob": 1.0,
      "mapper_hidden_dim": 2048,
      "mapper_dropout": 0.1
    },
    // Instruction masking separator
    "answer_separator": "\nAnswer:"
  },
  "train": {
    "ddp": true,
    "find_unused_parameters": true,
    "static_graph": true,
    "random_seed": 250929,
    "valid_batch_size": 1,
    "optimizer_type": "AdamW",
    "optimizer_params": {
      "lr": 0.0001,
      "betas": [0.9, 0.99],
      "eps": 1e-06,
      "weight_decay": 0.01
    },
    "scheduler_type": "CosineScheduler",
    "scheduler_params": {
      "lr_batches": 500000,
      "min_lr": 1e-05,
      "warmup_batches": 5000,
      "warmup_start": 0.5
    },
    "gradclip_value": 2,
    "epochs": 1000,
    "max_steps": 500000,
    "save_summary_steps": 100,
    "save_checkpoints_steps": 5000,
    "valid_interval": 10000,
    "keep_checkpoint_max": 10,
    "num_visualization": 10,
    "dtype": "bf16"
  }
}