Upload 24_10_20_08_23_42_log.txt with huggingface_hub
Browse files- 24_10_20_08_23_42_log.txt +531 -0
24_10_20_08_23_42_log.txt
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|
| 1 |
+
{
|
| 2 |
+
"run": {
|
| 3 |
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"task": "image_text_pretrain",
|
| 4 |
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"lr_sched": "linear_warmup_cosine_lr",
|
| 5 |
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"init_lr": 3e-05,
|
| 6 |
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"min_lr": 1e-05,
|
| 7 |
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"warmup_lr": 1e-06,
|
| 8 |
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"weight_decay": 0.05,
|
| 9 |
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"max_epoch": 1,
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| 10 |
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"iters_per_epoch": 2501,
|
| 11 |
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"batch_size_train": 20,
|
| 12 |
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"batch_size_eval": 1,
|
| 13 |
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"num_workers": 4,
|
| 14 |
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"warmup_steps": 200,
|
| 15 |
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"seed": 42,
|
| 16 |
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"output_dir": "output/xraygpt_openi_finetune",
|
| 17 |
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"amp": true,
|
| 18 |
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"resume_ckpt_path": null,
|
| 19 |
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"evaluate": false,
|
| 20 |
+
"train_splits": [
|
| 21 |
+
"train"
|
| 22 |
+
],
|
| 23 |
+
"device": "cuda",
|
| 24 |
+
"world_size": 1,
|
| 25 |
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"dist_url": "env://",
|
| 26 |
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"distributed": true,
|
| 27 |
+
"rank": 0,
|
| 28 |
+
"gpu": 0,
|
| 29 |
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"dist_backend": "nccl"
|
| 30 |
+
},
|
| 31 |
+
"model": {
|
| 32 |
+
"arch": "mini_gpt4",
|
| 33 |
+
"image_size": 224,
|
| 34 |
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"drop_path_rate": 0,
|
| 35 |
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"use_grad_checkpoint": false,
|
| 36 |
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"vit_precision": "fp16",
|
| 37 |
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"freeze_vit": true,
|
| 38 |
+
"freeze_qformer": true,
|
| 39 |
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"num_query_token": 32,
|
| 40 |
+
"llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational",
|
| 41 |
+
"prompt": "",
|
| 42 |
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"model_type": "pretrain_vicuna",
|
| 43 |
+
"max_txt_len": 160,
|
| 44 |
+
"end_sym": "<|eot_id|>",
|
| 45 |
+
"prompt_path": "prompts/alignment.txt",
|
| 46 |
+
"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 ",
|
| 47 |
+
"ckpt": "24_10_19_23_35_50_epoch17.pth"
|
| 48 |
+
},
|
| 49 |
+
"preprocess": {
|
| 50 |
+
"vis_processor": {
|
| 51 |
+
"train": {
|
| 52 |
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"name": "blip2_image_train",
|
| 53 |
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"image_size": 224
|
| 54 |
+
},
|
| 55 |
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"eval": {
|
| 56 |
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"name": "blip2_image_eval",
|
| 57 |
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"image_size": 224
|
| 58 |
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}
|
| 59 |
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},
|
| 60 |
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"text_processor": {
|
| 61 |
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"train": {
|
| 62 |
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"name": "blip_caption"
|
| 63 |
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},
|
| 64 |
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"eval": {
|
| 65 |
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"name": "blip_caption"
|
| 66 |
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}
|
| 67 |
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}
|
| 68 |
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},
|
| 69 |
+
"datasets": {
|
| 70 |
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"openi": {
|
| 71 |
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"data_type": "images",
|
| 72 |
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"build_info": {
|
| 73 |
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"storage": "dataset/openi"
|
| 74 |
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},
|
| 75 |
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"vis_processor": {
|
| 76 |
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"train": {
|
| 77 |
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"name": "blip2_image_train",
|
| 78 |
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"image_size": 224
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
"text_processor": {
|
| 82 |
+
"train": {
|
| 83 |
+
"name": "blip_caption"
|
| 84 |
+
}
|
| 85 |
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}
|
| 86 |
+
}
|
| 87 |
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}
|
| 88 |
+
}
|
| 89 |
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{
|
| 90 |
+
"run": {
|
| 91 |
+
"task": "image_text_pretrain",
|
| 92 |
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"lr_sched": "linear_warmup_cosine_lr",
|
| 93 |
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"init_lr": 3e-05,
|
| 94 |
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"min_lr": 1e-05,
|
| 95 |
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"warmup_lr": 1e-06,
|
| 96 |
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"weight_decay": 0.05,
|
| 97 |
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"max_epoch": 1,
|
| 98 |
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"iters_per_epoch": 2501,
|
| 99 |
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"batch_size_train": 20,
|
| 100 |
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"batch_size_eval": 1,
|
| 101 |
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"num_workers": 4,
|
| 102 |
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"warmup_steps": 200,
|
| 103 |
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"seed": 42,
|
| 104 |
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"output_dir": "output/xraygpt_openi_finetune",
|
| 105 |
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"amp": true,
|
| 106 |
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"resume_ckpt_path": null,
|
| 107 |
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"evaluate": false,
|
| 108 |
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"train_splits": [
|
| 109 |
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"train"
|
| 110 |
+
],
|
| 111 |
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"device": "cuda",
|
| 112 |
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"world_size": 1,
|
| 113 |
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"dist_url": "env://",
|
| 114 |
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"distributed": true,
|
| 115 |
+
"rank": 0,
|
| 116 |
+
"gpu": 0,
|
| 117 |
+
"dist_backend": "nccl"
|
| 118 |
+
},
|
| 119 |
+
"model": {
|
| 120 |
+
"arch": "mini_gpt4",
|
| 121 |
+
"image_size": 224,
|
| 122 |
+
"drop_path_rate": 0,
|
| 123 |
+
"use_grad_checkpoint": false,
|
| 124 |
+
"vit_precision": "fp16",
|
| 125 |
+
"freeze_vit": true,
|
| 126 |
+
"freeze_qformer": true,
|
| 127 |
+
"num_query_token": 32,
|
| 128 |
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"llama_model": "Joycean0301/Llama-3.2-3B-Instruct-Medical-Conversational",
|
| 129 |
+
"prompt": "",
|
| 130 |
+
"model_type": "pretrain_vicuna",
|
| 131 |
+
"max_txt_len": 160,
|
| 132 |
+
"end_sym": "<|eot_id|>",
|
| 133 |
+
"prompt_path": "prompts/alignment.txt",
|
| 134 |
+
"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 ",
|
| 135 |
+
"ckpt": "24_10_19_23_35_50_epoch17.pth"
|
| 136 |
+
},
|
| 137 |
+
"preprocess": {
|
| 138 |
+
"vis_processor": {
|
| 139 |
+
"train": {
|
| 140 |
+
"name": "blip2_image_train",
|
| 141 |
+
"image_size": 224
|
| 142 |
+
},
|
| 143 |
+
"eval": {
|
| 144 |
+
"name": "blip2_image_eval",
|
| 145 |
+
"image_size": 224
|
| 146 |
+
}
|
| 147 |
+
},
|
| 148 |
+
"text_processor": {
|
| 149 |
+
"train": {
|
| 150 |
+
"name": "blip_caption"
|
| 151 |
+
},
|
| 152 |
+
"eval": {
|
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