Rename 24_10_20_08_23_42_pretrain17_finetune3_log.txt to 24_10_20_08_23_42_pretrain18_finetune3_log.txt
10ccb74
verified
| { | |
| "run": { | |
| "task": "image_text_pretrain", | |
| "lr_sched": "linear_warmup_cosine_lr", | |
| "init_lr": 3e-05, | |
| "min_lr": 1e-05, | |
| "warmup_lr": 1e-06, | |
| "weight_decay": 0.05, | |
| "max_epoch": 1, | |
| "iters_per_epoch": 2501, | |
| "batch_size_train": 20, | |
| "batch_size_eval": 1, | |
| "num_workers": 4, | |
| "warmup_steps": 200, | |
| "seed": 42, | |
| "output_dir": "output/xraygpt_openi_finetune", | |
| "amp": true, | |
| "resume_ckpt_path": null, | |
| "evaluate": false, | |
| "train_splits": [ | |
| "train" | |
| ], | |
| "device": "cuda", | |
| "world_size": 1, | |
| "dist_url": "env://", | |
| "distributed": true, | |
| "rank": 0, | |
| "gpu": 0, | |
| "dist_backend": "nccl" | |
| }, | |
| "model": { | |
| "arch": "mini_gpt4", | |
| "image_size": 224, | |
| "drop_path_rate": 0, | |
| "use_grad_checkpoint": false, | |
| "vit_precision": "fp16", | |
| "freeze_vit": true, | |
| "freeze_qformer": true, | |
| "num_query_token": 32, | |
| "llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational", | |
| "prompt": "", | |
| "model_type": "pretrain_vicuna", | |
| "max_txt_len": 160, | |
| "end_sym": "<|eot_id|>", | |
| "prompt_path": "prompts/alignment.txt", | |
| "prompt_template": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nIf you are a doctor, please answer the medical questions based on chest xray image and the patient's description.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n ", | |
| "ckpt": "24_10_19_23_35_50_epoch17.pth" | |
| }, | |
| "preprocess": { | |
| "vis_processor": { | |
| "train": { | |
| "name": "blip2_image_train", | |
| "image_size": 224 | |
| }, | |
| "eval": { | |
| "name": "blip2_image_eval", | |
| "image_size": 224 | |
| } | |
| }, | |
| "text_processor": { | |
| "train": { | |
| "name": "blip_caption" | |
| }, | |
| "eval": { | |
| "name": "blip_caption" | |
| } | |
| } | |
| }, | |
| "datasets": { | |
| "openi": { | |
| "data_type": "images", | |
| "build_info": { | |
| "storage": "dataset/openi" | |
| }, | |
| "vis_processor": { | |
| "train": { | |
| "name": "blip2_image_train", | |
| "image_size": 224 | |
| } | |
| }, | |
| "text_processor": { | |
| "train": { | |
| "name": "blip_caption" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| { | |
| "run": { | |
| "task": "image_text_pretrain", | |
| "lr_sched": "linear_warmup_cosine_lr", | |
| "init_lr": 3e-05, | |
| "min_lr": 1e-05, | |
| "warmup_lr": 1e-06, | |
| "weight_decay": 0.05, | |
| "max_epoch": 1, | |
| "iters_per_epoch": 2501, | |
| "batch_size_train": 20, | |
| "batch_size_eval": 1, | |
| "num_workers": 4, | |
| "warmup_steps": 200, | |
| "seed": 42, | |
| "output_dir": "output/xraygpt_openi_finetune", | |
| "amp": true, | |
| "resume_ckpt_path": null, | |
| "evaluate": false, | |
| "train_splits": [ | |
| "train" | |
| ], | |
| "device": "cuda", | |
| "world_size": 1, | |
| "dist_url": "env://", | |
| "distributed": true, | |
| "rank": 0, | |
| "gpu": 0, | |
| "dist_backend": "nccl" | |
| }, | |
| "model": { | |
| "arch": "mini_gpt4", | |
| "image_size": 224, | |
| "drop_path_rate": 0, | |
| "use_grad_checkpoint": false, | |
| "vit_precision": "fp16", | |
| "freeze_vit": true, | |
| "freeze_qformer": true, | |
| "num_query_token": 32, | |
| "llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational", | |
| "prompt": "", | |
| "model_type": "pretrain_vicuna", | |
| "max_txt_len": 160, | |
| "end_sym": "<|eot_id|>", | |
| "prompt_path": "prompts/alignment.txt", | |
| "prompt_template": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nIf you are a doctor, please answer the medical questions based on chest xray image and the patient's description.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n ", | |
| "ckpt": "24_10_19_23_35_50_epoch17.pth" | |
| }, | |
| "preprocess": { | |
| "vis_processor": { | |
| "train": { | |
| "name": "blip2_image_train", | |
| "image_size": 224 | |
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| "eval": { | |
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| "image_size": 224 | |
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| }, | |
| "text_processor": { | |
| "train": { | |
| "name": "blip_caption" | |
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| "eval": { | |
| "name": "blip_caption" | |
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| } | |
| }, | |
| "datasets": { | |
| "openi": { | |
| "data_type": "images", | |
| "build_info": { | |
| "storage": "dataset/openi" | |
| }, | |
| "vis_processor": { | |
| "train": { | |
| "name": "blip2_image_train", | |
| "image_size": 224 | |
| } | |
| }, | |
| "text_processor": { | |
| "train": { | |
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| } | |
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| } | |
| } | |
| { | |
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| "weight_decay": 0.05, | |
| "max_epoch": 1, | |
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| "batch_size_train": 25, | |
| "batch_size_eval": 1, | |
| "num_workers": 4, | |
| "warmup_steps": 200, | |
| "seed": 42, | |
| "output_dir": "output/xraygpt_openi_finetune", | |
| "amp": true, | |
| "resume_ckpt_path": null, | |
| "evaluate": false, | |
| "train_splits": [ | |
| "train" | |
| ], | |
| "device": "cuda", | |
| "world_size": 1, | |
| "dist_url": "env://", | |
| "distributed": true, | |
| "rank": 0, | |
| "gpu": 0, | |
| "dist_backend": "nccl" | |
| }, | |
| "model": { | |
| "arch": "mini_gpt4", | |
| "image_size": 224, | |
| "drop_path_rate": 0, | |
| "use_grad_checkpoint": false, | |
| "vit_precision": "fp16", | |
| "freeze_vit": true, | |
| "freeze_qformer": true, | |
| "num_query_token": 32, | |
| "llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational", | |
| "prompt": "", | |
| "model_type": "pretrain_vicuna", | |
| "max_txt_len": 160, | |
| "end_sym": "<|eot_id|>", | |
| "prompt_path": "prompts/alignment.txt", | |
| "prompt_template": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nIf you are a doctor, please answer the medical questions based on chest xray image and the patient's description.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n ", | |
| "ckpt": "24_10_19_23_35_50_epoch17.pth" | |
| }, | |
| "preprocess": { | |
| "vis_processor": { | |
| "train": { | |
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| "image_size": 224 | |
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| "image_size": 224 | |
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| "text_processor": { | |
| "train": { | |
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| "datasets": { | |
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| "storage": "dataset/openi" | |
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| "vis_processor": { | |
| "train": { | |
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| "image_size": 224 | |
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| } | |
| } | |
| { | |
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| "lr_sched": "linear_warmup_cosine_lr", | |
| "init_lr": 3e-05, | |
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| "warmup_lr": 1e-06, | |
| "weight_decay": 0.05, | |
| "max_epoch": 1, | |
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| "batch_size_train": 30, | |
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| "num_workers": 4, | |
| "warmup_steps": 200, | |
| "seed": 42, | |
| "output_dir": "output/xraygpt_openi_finetune", | |
| "amp": true, | |
| "resume_ckpt_path": null, | |
| "evaluate": false, | |
| "train_splits": [ | |
| "train" | |
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| "device": "cuda", | |
| "world_size": 1, | |
| "dist_url": "env://", | |
| "distributed": true, | |
| "rank": 0, | |
| "gpu": 0, | |
| "dist_backend": "nccl" | |
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| "model": { | |
| "arch": "mini_gpt4", | |
| "image_size": 224, | |
| "drop_path_rate": 0, | |
| "use_grad_checkpoint": false, | |
| "vit_precision": "fp16", | |
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| "freeze_qformer": true, | |
| "num_query_token": 32, | |
| "llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational", | |
| "prompt": "", | |
| "model_type": "pretrain_vicuna", | |
| "max_txt_len": 160, | |
| "end_sym": "<|eot_id|>", | |
| "prompt_path": "prompts/alignment.txt", | |
| "prompt_template": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nIf you are a doctor, please answer the medical questions based on chest xray image and the patient's description.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n ", | |
| "ckpt": "24_10_19_23_35_50_epoch17.pth" | |
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| "num_query_token": 32, | |
| "llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational", | |
| "prompt": "", | |
| "model_type": "pretrain_vicuna", | |
| "max_txt_len": 160, | |
| "end_sym": "<|eot_id|>", | |
| "prompt_path": "prompts/alignment.txt", | |
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| "ckpt": "24_10_19_23_35_50_epoch17.pth" | |
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| { | |
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| "vit_precision": "fp16", | |
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| "num_query_token": 32, | |
| "llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational", | |
| "prompt": "", | |
| "model_type": "pretrain_vicuna", | |
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| "end_sym": "<|eot_id|>", | |
| "prompt_path": "prompts/alignment.txt", | |
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| "ckpt": "24_10_19_23_35_50_epoch17.pth" | |
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| } | |
| {"train_lr": "0.000", "train_loss": "1.346"} | |
| {"train_lr": "0.000", "train_loss": "1.249"} | |
| {"train_lr": "0.000", "train_loss": "1.220"} | |