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Instance-based-FT

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Instance-based-FT
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{
  "architectures": [
    "IbaXs_LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "dtype": "float32",
  "eos_token_id": 2,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 11008,
  "main_cfg": {
    "data": {
      "data_path": "ft-training_set/commonsense_15k.json",
      "dataset_name": "CMS",
      "val_set_size": 512
    },
    "hyperxs": {
      "drop_out": 0.0,
      "latent_feature_dim": 512,
      "layer_embed_dim": 48,
      "layer_norm_epsilon": 1e-05,
      "lora_attn_dim": 64,
      "module_embed_dim": 16,
      "modules_per_layer": 7,
      "n_cross_attn_tokens": 8,
      "out_proj_dim": 128
    },
    "infer": {
      "datasets": [
        "boolq"
      ],
      "eval_batch_size": 128,
      "is_json": true,
      "model_path": ""
    },
    "model": {
      "base_model_name": "meta-llama/Llama-2-7b-hf",
      "cutoff_len": 512,
      "train_on_inputs": false
    },
    "run_text": "def",
    "seed": 42,
    "training": {
      "bf16": false,
      "bf16_full_eval": false,
      "dataloader_num_workers": 4,
      "dataloader_persistent_workers": true,
      "dataloader_pin_memory": true,
      "dataloader_prefetch_factor": 1,
      "eval_delay": 0,
      "eval_steps": 1,
      "eval_strategy": "steps",
      "gradient_accumulation_steps": 1,
      "gradient_checkpointing": false,
      "gradient_checkpointing_kwargs": {
        "use_reentrant": false
      },
      "learning_rate": 1e-36,
      "load_best_model_at_end": true,
      "logging_steps": 1,
      "lr_scheduler_type": "cosine",
      "max_steps": -1,
      "num_train_epochs": 3.0,
      "num_workers": 2,
      "optim": "adamw_torch",
      "output_dir": "exps",
      "per_device_eval_batch_size": 32,
      "per_device_train_batch_size": 16,
      "report_to": "none",
      "resume_from_checkpoint": false,
      "save_safetensors": false,
      "save_steps": 1.0,
      "save_strategy": "steps",
      "save_total_limit": 1,
      "warmup_ratio": 0.1
    }
  },
  "max_position_embeddings": 4096,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 32,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 10000.0,
  "tie_word_embeddings": false,
  "transformers_version": "4.57.3",
  "use_cache": true,
  "vocab_size": 32000
}