mbhosale commited on
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Add MIMIC-CXR FairLLaVA checkpoint

Browse files
mimic-cxr/README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ base_model: lmsys/vicuna-7b-v1.5
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+ tags:
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+ - medical-imaging
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+ - chest-xray
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+ - mimic-cxr
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+ - fairness
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+ - lora
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+ ---
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+
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+ # FairLLaVA — MIMIC-CXR
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+
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+ Fairness-aware LoRA adapter on top of LLaVA-Rad (Vicuna-7B + BiomedCLIP-CXR-518)
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+ for MIMIC-CXR chest-X-ray report generation. Trained with the FairLLaVA
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+ mutual-information regularizer on patient demographics (age, sex, race).
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+
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+ ## Files
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+ - `adapter_model.safetensors`, `adapter_config.json`, `non_lora_trainables.bin` — LoRA weights
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+ - `mm_projector.bin` — multimodal projector
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+ - `tokenizer.model`, `tokenizer_config.json`, `special_tokens_map.json`, `config.json` — tokenizer / config
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+
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+ ## Usage
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+ See https://github.com/bhosalems/FairLLaVA → `inference.py`. Point `model_path` at
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+ this directory and set `model_base="lmsys/vicuna-7b-v1.5"`.
mimic-cxr/adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 128,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": [
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+ "club_modules.age",
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+ "club_modules.race",
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+ "club_modules.gender"
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+ ],
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "up_proj",
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+ "q_proj",
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+ "k_proj",
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+ "v_proj",
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+ "o_proj",
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+ "down_proj",
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+ "gate_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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mimic-cxr/config.json ADDED
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+ {
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+ "_name_or_path": "lmsys/vicuna-7b-v1.5",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "freeze_mm_mlp_adapter": false,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "image_aspect_ratio": "square",
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+ "image_grid_pinpoints": null,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 4096,
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+ "mm_hidden_size": 768,
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+ "mm_projector_type": "mlp2x_gelu",
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+ "mm_use_im_patch_token": false,
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+ "mm_use_im_start_end": false,
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+ "mm_vision_select_feature": "patch",
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+ "mm_vision_select_layer": -2,
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+ "mm_vision_tower": "biomedclip_cxr_518",
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+ "mm_vision_tower_checkpoint": "/home/csgrad/mbhosale/phd/MrFair/LLaVA-Rad/llava-rad_hf/biomedclipcxr_518_checkpoint.pt",
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+ "mm_vision_tower_config": "llava/model/multimodal_encoder/open_clip_encoder/model_configs/biomedclip_cxr_518.json",
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+ "model_type": "llava",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "output_hidden_states": true,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.39.3",
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+ "tune_mm_mlp_adapter": false,
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+ "use_cache": false,
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+ "use_mm_proj": true,
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+ "vocab_size": 32000
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+ }
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