Upload training artifacts
Browse files- experiment_metadata.json +594 -0
experiment_metadata.json
ADDED
|
@@ -0,0 +1,594 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment_name": "evlms_v2_baseline",
|
| 3 |
+
"repo_id": "codewithdark/EVLMs-MIMIC-CXR-VReason-baseline",
|
| 4 |
+
"config": {
|
| 5 |
+
"optimizer_type": "adamw",
|
| 6 |
+
"muon_lr": 0.0001,
|
| 7 |
+
"adam_lr": 0.0001,
|
| 8 |
+
"weight_decay": 0.01,
|
| 9 |
+
"muon_momentum": 0.95,
|
| 10 |
+
"ns_steps": 5,
|
| 11 |
+
"batch_size": 3,
|
| 12 |
+
"gradient_accumulation_steps": 8,
|
| 13 |
+
"num_epochs": 30,
|
| 14 |
+
"max_grad_norm": 0.5,
|
| 15 |
+
"use_mixed_precision": true,
|
| 16 |
+
"dataloader_num_workers": 2,
|
| 17 |
+
"pin_memory": true,
|
| 18 |
+
"warmup_ratio": 0.1,
|
| 19 |
+
"logging_steps": 25,
|
| 20 |
+
"eval_steps": 100,
|
| 21 |
+
"save_steps": 200,
|
| 22 |
+
"early_stopping_patience": 10,
|
| 23 |
+
"early_stopping_min_delta": 0.0001,
|
| 24 |
+
"early_stopping_monitor": "val_mean_auc",
|
| 25 |
+
"max_val_batches": 50,
|
| 26 |
+
"lr_scheduler": "reduce_on_plateau",
|
| 27 |
+
"lr_scheduler_patience": 3,
|
| 28 |
+
"lr_scheduler_factor": 0.5,
|
| 29 |
+
"lr_scheduler_min_lr": 1e-06,
|
| 30 |
+
"output_dir": "/outputs/baseline",
|
| 31 |
+
"experiment_name": "evlms_v2_baseline",
|
| 32 |
+
"skip_nonfinite_batches": true,
|
| 33 |
+
"max_nonfinite_batches": 20,
|
| 34 |
+
"save_epoch_artifacts": false,
|
| 35 |
+
"epoch_artifacts_interval": 1,
|
| 36 |
+
"hf_push_async": true
|
| 37 |
+
},
|
| 38 |
+
"epochs": [
|
| 39 |
+
{
|
| 40 |
+
"epoch": 1,
|
| 41 |
+
"global_step": 879,
|
| 42 |
+
"train_metrics": {
|
| 43 |
+
"loss": 0.48728023986816404,
|
| 44 |
+
"cls_loss": 0.40819054186344145,
|
| 45 |
+
"lang_loss": 0.26363231625556943
|
| 46 |
+
},
|
| 47 |
+
"val_metrics": {
|
| 48 |
+
"loss": 0.4997508430480957,
|
| 49 |
+
"val_loss": 0.4997508430480957,
|
| 50 |
+
"accuracy": 0.8078571428571428,
|
| 51 |
+
"auc_class_0": 0.797565093752777,
|
| 52 |
+
"ap_class_0": 0.6270909760843386,
|
| 53 |
+
"auc_class_1": 0.7115213437052517,
|
| 54 |
+
"ap_class_1": 0.3544332996395062,
|
| 55 |
+
"auc_class_2": 0.6008461908743128,
|
| 56 |
+
"ap_class_2": 0.5264903455212033,
|
| 57 |
+
"auc_class_3": 0.72174906805257,
|
| 58 |
+
"ap_class_3": 0.5686527777652727,
|
| 59 |
+
"auc_class_4": 0.7926112510495382,
|
| 60 |
+
"ap_class_4": 0.022943699055607232,
|
| 61 |
+
"auc_class_5": 0.4924422554347826,
|
| 62 |
+
"ap_class_5": 0.0798676454961326,
|
| 63 |
+
"auc_class_6": 0.584552304964539,
|
| 64 |
+
"ap_class_6": 0.07798493362315986,
|
| 65 |
+
"auc_class_7": 0.6714878447872837,
|
| 66 |
+
"ap_class_7": 0.4392857394424631,
|
| 67 |
+
"auc_class_8": 0.8372653475393201,
|
| 68 |
+
"ap_class_8": 0.9355292930535328,
|
| 69 |
+
"auc_class_9": 0.5634821380022836,
|
| 70 |
+
"ap_class_9": 0.8961004552178458,
|
| 71 |
+
"auc_class_10": 0.692079940784604,
|
| 72 |
+
"ap_class_10": 0.05983263286077463,
|
| 73 |
+
"auc_class_11": 0.6155530202583948,
|
| 74 |
+
"ap_class_11": 0.3838216378740145,
|
| 75 |
+
"auc_class_12": 0.6645918021680217,
|
| 76 |
+
"ap_class_12": 0.8936945467823779,
|
| 77 |
+
"auc_class_13": 0.8636328337345656,
|
| 78 |
+
"ap_class_13": 0.8321179028867138,
|
| 79 |
+
"mean_auc": 0.686384316793446,
|
| 80 |
+
"mean_ap": 0.4784175632359245,
|
| 81 |
+
"val_mean_auc": 0.686384316793446,
|
| 82 |
+
"val_accuracy": 0.8078571428571428,
|
| 83 |
+
"lang_bleu1": 0.14975372798294315,
|
| 84 |
+
"lang_bleu2": 0.08725139574676911,
|
| 85 |
+
"lang_bleu3": 0.058791415390470565,
|
| 86 |
+
"lang_bleu4": 0.03877119553028646,
|
| 87 |
+
"lang_rouge1": 0.3121960329479454,
|
| 88 |
+
"lang_rougeL": 0.18227553834834273
|
| 89 |
+
},
|
| 90 |
+
"artifacts": {
|
| 91 |
+
"epoch_dir": "/outputs/baseline/artifacts/epoch_001",
|
| 92 |
+
"image_path": "/outputs/baseline/artifacts/epoch_001/original_image.png",
|
| 93 |
+
"explainability_path": "/outputs/baseline/artifacts/epoch_001/explainability.png",
|
| 94 |
+
"text_path": "/outputs/baseline/artifacts/epoch_001/query_result.txt",
|
| 95 |
+
"metrics_path": "/outputs/baseline/artifacts/epoch_001/metrics.json",
|
| 96 |
+
"query": "Reviewing lungs and airways... Inspecting right lung... Right lung is clear. Inspecting lung upper lobe left... Linear atelectasis in the lingula. Inspecting lung... No focal consolidation. Reviewing cardiovascular... Inspecting aortic arch... Calcifications of the aortic arch. Reviewing hila and mediastinum... Inspecting cardiomediastinum... Cardiomediastinal silhouette and hilar contours are normal. Reviewing pleura... Inspecting costophrenic recess approx... No pleural effusion. Reviewing musculoskeletal and chest wall... Inspecting clavicle left, clavicle right, scapula left, and scapula right... Degenerative changes at the bilateral acromioclavicular joints. - **Lungs and Airways**: Right lung is clear. Linear atelectasis in the lingula. No focal consolidation. - **Cardiovascular**: Calcifications of the aortic arch. - **Hila and Mediastinum**: Cardiomediastinal silhouette and hilar contours are normal. - **Pleura**: No pleural effusion. - **Musculoskeletal and Chest Wall**: Degenerative changes at the bilateral acromioclavicular joints. - Linear atelectasis in the lingula without evidence of focal consolidation. - Calcifications of the aortic arch, likely representing a chronic process. - Degenerative changes at the bilateral acromioclavicular joints. The right lung is clear. There is linear atelectasis in the lingula. No focal consolidation is seen. The cardiomediastinal silhouette and hilar contours are within normal limits. Calcifications of the aortic arch is again noted. There is no pleural effusion or pneumothorax. Degenerative changes are seen at the bilateral acromioclavicular joints.",
|
| 97 |
+
"output": "<interpret>\nReviewing lungs and airways...\n<tool type=\"anatomical_roi\" label=[\"lungs and airways\"]><image>\nInspecting lung, costophrenic recess approx, and visceral pleura approx...\n</interpret><unused61>\n<finding>\n- **Lungs and Airways**: No evidence of consolidation or pneumothorax. Clear pulmonary vasculature without acute abnormalities.\n</finding><unused63>\n<impression>\nNo radiographic signs consistent with pneumonia are identified on the current exam. If clinical concern for pneumonia persists, a dedicated chest CT is recommended to further evaluate the lungs.\nSingle rib fracture noted in the right mid zone; recommend follow up radiographs after treatment if clinically indicated.\nReview tubes, catheters, and support devices...\nInspected breast left upper quadrant...\nReview cardiovascular...\n- \"Cardiovascular\": Heart size at the upper limits of normal.\nInspect aortic arch...\nPrevious aortic valve replacement surgery noted.\n- \"[Heart]\": Coronary artery stents present.\nOverlying cardiomediastinal contours appear stable.\nCardiac silhouette appears unremarkable.\nPulmonary arteries appear not engorged.\nOther cardiac structures are within normal limits.\nCardiomegaly cannot be excluded but is likely exaggerated by technique"
|
| 98 |
+
}
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 2,
|
| 102 |
+
"global_step": 210,
|
| 103 |
+
"train_metrics": {
|
| 104 |
+
"loss": 0.8007310867166462,
|
| 105 |
+
"cls_loss": 0.44687040874651784,
|
| 106 |
+
"lang_loss": 0.35386067628860474
|
| 107 |
+
},
|
| 108 |
+
"val_metrics": {
|
| 109 |
+
"loss": 0.7724232490360737,
|
| 110 |
+
"val_loss": 0.7724232490360737,
|
| 111 |
+
"accuracy": 0.7928571428571428,
|
| 112 |
+
"auc_class_0": 0.7384222919937204,
|
| 113 |
+
"ap_class_0": 0.5449407872463168,
|
| 114 |
+
"auc_class_1": 0.7174317617866005,
|
| 115 |
+
"ap_class_1": 0.36199216432742876,
|
| 116 |
+
"auc_class_2": 0.6197888709966005,
|
| 117 |
+
"ap_class_2": 0.5871709136335377,
|
| 118 |
+
"auc_class_3": 0.6740237691001698,
|
| 119 |
+
"ap_class_3": 0.514226079886489,
|
| 120 |
+
"auc_class_4": 0.7516778523489933,
|
| 121 |
+
"ap_class_4": 0.02631578947368421,
|
| 122 |
+
"auc_class_5": 0.5209876543209877,
|
| 123 |
+
"ap_class_5": 0.11307743438239441,
|
| 124 |
+
"auc_class_6": 0.5589788732394366,
|
| 125 |
+
"ap_class_6": 0.0723371442080884,
|
| 126 |
+
"auc_class_7": 0.668563579277865,
|
| 127 |
+
"ap_class_7": 0.49646722091780354,
|
| 128 |
+
"auc_class_8": 0.8515909090909092,
|
| 129 |
+
"ap_class_8": 0.9476821389505345,
|
| 130 |
+
"auc_class_9": 0.45785714285714285,
|
| 131 |
+
"ap_class_9": 0.9142913753880348,
|
| 132 |
+
"auc_class_10": 0.2654109589041096,
|
| 133 |
+
"ap_class_10": 0.02152479609801667,
|
| 134 |
+
"auc_class_11": 0.5843062200956938,
|
| 135 |
+
"ap_class_11": 0.4915468376955269,
|
| 136 |
+
"auc_class_12": 0.6191666666666666,
|
| 137 |
+
"ap_class_12": 0.8582221770197427,
|
| 138 |
+
"auc_class_13": 0.8056798288270764,
|
| 139 |
+
"ap_class_13": 0.7491408108822382,
|
| 140 |
+
"mean_auc": 0.6309918842504265,
|
| 141 |
+
"mean_ap": 0.47849540500784543,
|
| 142 |
+
"val_mean_auc": 0.6309918842504265,
|
| 143 |
+
"val_accuracy": 0.7928571428571428
|
| 144 |
+
},
|
| 145 |
+
"artifacts": {
|
| 146 |
+
"epoch_dir": "",
|
| 147 |
+
"image_path": "",
|
| 148 |
+
"explainability_path": "",
|
| 149 |
+
"text_path": "",
|
| 150 |
+
"metrics_path": "",
|
| 151 |
+
"query": "",
|
| 152 |
+
"output": ""
|
| 153 |
+
}
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 3,
|
| 157 |
+
"global_step": 315,
|
| 158 |
+
"train_metrics": {
|
| 159 |
+
"loss": 0.7624263746970269,
|
| 160 |
+
"cls_loss": 0.4380232638099185,
|
| 161 |
+
"lang_loss": 0.32440311085133133
|
| 162 |
+
},
|
| 163 |
+
"val_metrics": {
|
| 164 |
+
"loss": 0.7532284726202488,
|
| 165 |
+
"val_loss": 0.7532284726202488,
|
| 166 |
+
"accuracy": 0.79,
|
| 167 |
+
"auc_class_0": 0.7492150706436421,
|
| 168 |
+
"ap_class_0": 0.5854819794467674,
|
| 169 |
+
"auc_class_1": 0.7633374689826303,
|
| 170 |
+
"ap_class_1": 0.32489310094360546,
|
| 171 |
+
"auc_class_2": 0.6419753086419753,
|
| 172 |
+
"ap_class_2": 0.5702979682903793,
|
| 173 |
+
"auc_class_3": 0.6702508960573477,
|
| 174 |
+
"ap_class_3": 0.5160188925524389,
|
| 175 |
+
"auc_class_4": 0.2684563758389261,
|
| 176 |
+
"ap_class_4": 0.00909090909090909,
|
| 177 |
+
"auc_class_5": 0.48790123456790124,
|
| 178 |
+
"ap_class_5": 0.10028160797009784,
|
| 179 |
+
"auc_class_6": 0.4102112676056338,
|
| 180 |
+
"ap_class_6": 0.060715133172726796,
|
| 181 |
+
"auc_class_7": 0.6807299843014128,
|
| 182 |
+
"ap_class_7": 0.5194139238481307,
|
| 183 |
+
"auc_class_8": 0.8572727272727272,
|
| 184 |
+
"ap_class_8": 0.9495222666564328,
|
| 185 |
+
"auc_class_9": 0.5228571428571428,
|
| 186 |
+
"ap_class_9": 0.9488805770605695,
|
| 187 |
+
"auc_class_10": 0.5102739726027397,
|
| 188 |
+
"ap_class_10": 0.03308414693373639,
|
| 189 |
+
"auc_class_11": 0.5768421052631578,
|
| 190 |
+
"ap_class_11": 0.48200118282145477,
|
| 191 |
+
"auc_class_12": 0.6269444444444444,
|
| 192 |
+
"ap_class_12": 0.8546248235796288,
|
| 193 |
+
"auc_class_13": 0.8119042987745575,
|
| 194 |
+
"ap_class_13": 0.7712878068346728,
|
| 195 |
+
"mean_auc": 0.6127265927038742,
|
| 196 |
+
"mean_ap": 0.4803995942286822,
|
| 197 |
+
"val_mean_auc": 0.6127265927038742,
|
| 198 |
+
"val_accuracy": 0.79
|
| 199 |
+
},
|
| 200 |
+
"artifacts": {
|
| 201 |
+
"epoch_dir": "",
|
| 202 |
+
"image_path": "",
|
| 203 |
+
"explainability_path": "",
|
| 204 |
+
"text_path": "",
|
| 205 |
+
"metrics_path": "",
|
| 206 |
+
"query": "",
|
| 207 |
+
"output": ""
|
| 208 |
+
}
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 4,
|
| 212 |
+
"global_step": 420,
|
| 213 |
+
"train_metrics": {
|
| 214 |
+
"loss": 0.7476338799975786,
|
| 215 |
+
"cls_loss": 0.4336166822430896,
|
| 216 |
+
"lang_loss": 0.31401719812120427
|
| 217 |
+
},
|
| 218 |
+
"val_metrics": {
|
| 219 |
+
"loss": 0.7376159718632698,
|
| 220 |
+
"val_loss": 0.7376159718632698,
|
| 221 |
+
"accuracy": 0.7957142857142857,
|
| 222 |
+
"auc_class_0": 0.7562794348508634,
|
| 223 |
+
"ap_class_0": 0.5393523584165483,
|
| 224 |
+
"auc_class_1": 0.7788461538461537,
|
| 225 |
+
"ap_class_1": 0.3651092636838243,
|
| 226 |
+
"auc_class_2": 0.6398282340311326,
|
| 227 |
+
"ap_class_2": 0.5562099879322363,
|
| 228 |
+
"auc_class_3": 0.6976042256178079,
|
| 229 |
+
"ap_class_3": 0.5434242508052398,
|
| 230 |
+
"auc_class_4": 0.22818791946308725,
|
| 231 |
+
"ap_class_4": 0.008620689655172414,
|
| 232 |
+
"auc_class_5": 0.49382716049382713,
|
| 233 |
+
"ap_class_5": 0.1284798531576692,
|
| 234 |
+
"auc_class_6": 0.5774647887323944,
|
| 235 |
+
"ap_class_6": 0.0685911677035448,
|
| 236 |
+
"auc_class_7": 0.6919152276295134,
|
| 237 |
+
"ap_class_7": 0.520844723779968,
|
| 238 |
+
"auc_class_8": 0.859090909090909,
|
| 239 |
+
"ap_class_8": 0.9525764076129601,
|
| 240 |
+
"auc_class_9": 0.5442857142857144,
|
| 241 |
+
"ap_class_9": 0.9465301908788485,
|
| 242 |
+
"auc_class_10": 0.571917808219178,
|
| 243 |
+
"ap_class_10": 0.04172979797979798,
|
| 244 |
+
"auc_class_11": 0.5854545454545454,
|
| 245 |
+
"ap_class_11": 0.4539531836551299,
|
| 246 |
+
"auc_class_12": 0.6311111111111111,
|
| 247 |
+
"ap_class_12": 0.8561508953325403,
|
| 248 |
+
"auc_class_13": 0.8385528107372107,
|
| 249 |
+
"ap_class_13": 0.8161432844955672,
|
| 250 |
+
"mean_auc": 0.635311860254532,
|
| 251 |
+
"mean_ap": 0.48555114679207473,
|
| 252 |
+
"val_mean_auc": 0.635311860254532,
|
| 253 |
+
"val_accuracy": 0.7957142857142857
|
| 254 |
+
},
|
| 255 |
+
"artifacts": {
|
| 256 |
+
"epoch_dir": "",
|
| 257 |
+
"image_path": "",
|
| 258 |
+
"explainability_path": "",
|
| 259 |
+
"text_path": "",
|
| 260 |
+
"metrics_path": "",
|
| 261 |
+
"query": "",
|
| 262 |
+
"output": ""
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 5,
|
| 267 |
+
"global_step": 525,
|
| 268 |
+
"train_metrics": {
|
| 269 |
+
"loss": 0.7226264549761402,
|
| 270 |
+
"cls_loss": 0.4257576212483723,
|
| 271 |
+
"lang_loss": 0.2968688332537214
|
| 272 |
+
},
|
| 273 |
+
"val_metrics": {
|
| 274 |
+
"loss": 0.7241050294041633,
|
| 275 |
+
"val_loss": 0.7241050294041633,
|
| 276 |
+
"accuracy": 0.799047619047619,
|
| 277 |
+
"auc_class_0": 0.7492150706436421,
|
| 278 |
+
"ap_class_0": 0.5364247486682753,
|
| 279 |
+
"auc_class_1": 0.8207196029776676,
|
| 280 |
+
"ap_class_1": 0.4158668603194521,
|
| 281 |
+
"auc_class_2": 0.6738235820361423,
|
| 282 |
+
"ap_class_2": 0.6066614212178549,
|
| 283 |
+
"auc_class_3": 0.6866628937936238,
|
| 284 |
+
"ap_class_3": 0.5521383128177277,
|
| 285 |
+
"auc_class_4": 0.006711409395973145,
|
| 286 |
+
"ap_class_4": 0.006711409395973154,
|
| 287 |
+
"auc_class_5": 0.46370370370370373,
|
| 288 |
+
"ap_class_5": 0.12229353768953428,
|
| 289 |
+
"auc_class_6": 0.4154929577464789,
|
| 290 |
+
"ap_class_6": 0.05876460744210672,
|
| 291 |
+
"auc_class_7": 0.6921114599686028,
|
| 292 |
+
"ap_class_7": 0.5034337747227957,
|
| 293 |
+
"auc_class_8": 0.8738636363636364,
|
| 294 |
+
"ap_class_8": 0.9583961708391746,
|
| 295 |
+
"auc_class_9": 0.4957142857142857,
|
| 296 |
+
"ap_class_9": 0.935663015563559,
|
| 297 |
+
"auc_class_10": 0.7345890410958904,
|
| 298 |
+
"ap_class_10": 0.06429170299160403,
|
| 299 |
+
"auc_class_11": 0.610909090909091,
|
| 300 |
+
"ap_class_11": 0.5211272661605497,
|
| 301 |
+
"auc_class_12": 0.6402777777777778,
|
| 302 |
+
"ap_class_12": 0.8735650537734791,
|
| 303 |
+
"auc_class_13": 0.8439992219412565,
|
| 304 |
+
"ap_class_13": 0.8263369321618825,
|
| 305 |
+
"mean_auc": 0.6219852667191266,
|
| 306 |
+
"mean_ap": 0.4986910581259978,
|
| 307 |
+
"val_mean_auc": 0.6219852667191266,
|
| 308 |
+
"val_accuracy": 0.799047619047619
|
| 309 |
+
},
|
| 310 |
+
"artifacts": {
|
| 311 |
+
"epoch_dir": "",
|
| 312 |
+
"image_path": "",
|
| 313 |
+
"explainability_path": "",
|
| 314 |
+
"text_path": "",
|
| 315 |
+
"metrics_path": "",
|
| 316 |
+
"query": "",
|
| 317 |
+
"output": ""
|
| 318 |
+
}
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 6,
|
| 322 |
+
"global_step": 630,
|
| 323 |
+
"train_metrics": {
|
| 324 |
+
"loss": 0.7111740762016782,
|
| 325 |
+
"cls_loss": 0.42129035707281415,
|
| 326 |
+
"lang_loss": 0.28988371791244266
|
| 327 |
+
},
|
| 328 |
+
"val_metrics": {
|
| 329 |
+
"loss": 0.7145719160139561,
|
| 330 |
+
"val_loss": 0.7145719160139561,
|
| 331 |
+
"accuracy": 0.7980952380952381,
|
| 332 |
+
"auc_class_0": 0.7482339089481946,
|
| 333 |
+
"ap_class_0": 0.5985843654819026,
|
| 334 |
+
"auc_class_1": 0.8036600496277916,
|
| 335 |
+
"ap_class_1": 0.41359963803894567,
|
| 336 |
+
"auc_class_2": 0.664519592055824,
|
| 337 |
+
"ap_class_2": 0.5938500258469175,
|
| 338 |
+
"auc_class_3": 0.7098660630069799,
|
| 339 |
+
"ap_class_3": 0.5551977696168188,
|
| 340 |
+
"auc_class_4": 0.01342281879194629,
|
| 341 |
+
"ap_class_4": 0.006756756756756757,
|
| 342 |
+
"auc_class_5": 0.5081481481481482,
|
| 343 |
+
"ap_class_5": 0.1327299675973624,
|
| 344 |
+
"auc_class_6": 0.5739436619718309,
|
| 345 |
+
"ap_class_6": 0.06478309565186163,
|
| 346 |
+
"auc_class_7": 0.6978021978021978,
|
| 347 |
+
"ap_class_7": 0.5326526299364688,
|
| 348 |
+
"auc_class_8": 0.8722727272727273,
|
| 349 |
+
"ap_class_8": 0.9570477390511307,
|
| 350 |
+
"auc_class_9": 0.5142857142857142,
|
| 351 |
+
"ap_class_9": 0.941562451784033,
|
| 352 |
+
"auc_class_10": 0.6386986301369864,
|
| 353 |
+
"ap_class_10": 0.08121695505888007,
|
| 354 |
+
"auc_class_11": 0.5866028708133971,
|
| 355 |
+
"ap_class_11": 0.4810972393795454,
|
| 356 |
+
"auc_class_12": 0.6788888888888889,
|
| 357 |
+
"ap_class_12": 0.8985292624309887,
|
| 358 |
+
"auc_class_13": 0.8220190624392141,
|
| 359 |
+
"ap_class_13": 0.8029152961780317,
|
| 360 |
+
"mean_auc": 0.6308831667278457,
|
| 361 |
+
"mean_ap": 0.5043230852006888,
|
| 362 |
+
"val_mean_auc": 0.6308831667278457,
|
| 363 |
+
"val_accuracy": 0.7980952380952381
|
| 364 |
+
},
|
| 365 |
+
"artifacts": {
|
| 366 |
+
"epoch_dir": "",
|
| 367 |
+
"image_path": "",
|
| 368 |
+
"explainability_path": "",
|
| 369 |
+
"text_path": "",
|
| 370 |
+
"metrics_path": "",
|
| 371 |
+
"query": "",
|
| 372 |
+
"output": ""
|
| 373 |
+
}
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 7,
|
| 377 |
+
"global_step": 735,
|
| 378 |
+
"train_metrics": {
|
| 379 |
+
"loss": 0.6944414003699625,
|
| 380 |
+
"cls_loss": 0.4162403589644495,
|
| 381 |
+
"lang_loss": 0.27820104275609836
|
| 382 |
+
},
|
| 383 |
+
"val_metrics": {
|
| 384 |
+
"loss": 0.706406519562006,
|
| 385 |
+
"val_loss": 0.706406519562006,
|
| 386 |
+
"accuracy": 0.8019047619047619,
|
| 387 |
+
"auc_class_0": 0.7704081632653061,
|
| 388 |
+
"ap_class_0": 0.5893677804047461,
|
| 389 |
+
"auc_class_1": 0.8095533498759305,
|
| 390 |
+
"ap_class_1": 0.3724850040743998,
|
| 391 |
+
"auc_class_2": 0.6718554303095366,
|
| 392 |
+
"ap_class_2": 0.6065951817712332,
|
| 393 |
+
"auc_class_3": 0.6985474438785135,
|
| 394 |
+
"ap_class_3": 0.5588610305271708,
|
| 395 |
+
"auc_class_4": 0.02684563758389258,
|
| 396 |
+
"ap_class_4": 0.00684931506849315,
|
| 397 |
+
"auc_class_5": 0.46172839506172836,
|
| 398 |
+
"ap_class_5": 0.10246641985608466,
|
| 399 |
+
"auc_class_6": 0.5176056338028169,
|
| 400 |
+
"ap_class_6": 0.08209473576120659,
|
| 401 |
+
"auc_class_7": 0.7032967032967032,
|
| 402 |
+
"ap_class_7": 0.5346796123345317,
|
| 403 |
+
"auc_class_8": 0.8743181818181818,
|
| 404 |
+
"ap_class_8": 0.9568170998218821,
|
| 405 |
+
"auc_class_9": 0.5192857142857142,
|
| 406 |
+
"ap_class_9": 0.9369758089368039,
|
| 407 |
+
"auc_class_10": 0.595890410958904,
|
| 408 |
+
"ap_class_10": 0.05929791992357131,
|
| 409 |
+
"auc_class_11": 0.6005741626794258,
|
| 410 |
+
"ap_class_11": 0.49242301013738654,
|
| 411 |
+
"auc_class_12": 0.6380555555555555,
|
| 412 |
+
"ap_class_12": 0.8556223268311891,
|
| 413 |
+
"auc_class_13": 0.8473059716008559,
|
| 414 |
+
"ap_class_13": 0.8302835678269306,
|
| 415 |
+
"mean_auc": 0.6239479109980761,
|
| 416 |
+
"mean_ap": 0.4989156295196878,
|
| 417 |
+
"val_mean_auc": 0.6239479109980761,
|
| 418 |
+
"val_accuracy": 0.8019047619047619
|
| 419 |
+
},
|
| 420 |
+
"artifacts": {
|
| 421 |
+
"epoch_dir": "",
|
| 422 |
+
"image_path": "",
|
| 423 |
+
"explainability_path": "",
|
| 424 |
+
"text_path": "",
|
| 425 |
+
"metrics_path": "",
|
| 426 |
+
"query": "",
|
| 427 |
+
"output": ""
|
| 428 |
+
}
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 8,
|
| 432 |
+
"global_step": 840,
|
| 433 |
+
"train_metrics": {
|
| 434 |
+
"loss": 0.6859818174272311,
|
| 435 |
+
"cls_loss": 0.4113910268155896,
|
| 436 |
+
"lang_loss": 0.2745907904864216
|
| 437 |
+
},
|
| 438 |
+
"val_metrics": {
|
| 439 |
+
"loss": 0.7047598575055599,
|
| 440 |
+
"val_loss": 0.7047598575055599,
|
| 441 |
+
"accuracy": 0.799047619047619,
|
| 442 |
+
"auc_class_0": 0.7847331240188382,
|
| 443 |
+
"ap_class_0": 0.6323103034814039,
|
| 444 |
+
"auc_class_1": 0.8083126550868487,
|
| 445 |
+
"ap_class_1": 0.40488881849237535,
|
| 446 |
+
"auc_class_2": 0.6766863481839327,
|
| 447 |
+
"ap_class_2": 0.6154714393088604,
|
| 448 |
+
"auc_class_3": 0.6981701565742312,
|
| 449 |
+
"ap_class_3": 0.5493437233440394,
|
| 450 |
+
"auc_class_4": 0.0,
|
| 451 |
+
"ap_class_4": 0.006666666666666667,
|
| 452 |
+
"auc_class_5": 0.5022222222222221,
|
| 453 |
+
"ap_class_5": 0.13028782111968107,
|
| 454 |
+
"auc_class_6": 0.43045774647887325,
|
| 455 |
+
"ap_class_6": 0.06989542747601807,
|
| 456 |
+
"auc_class_7": 0.6954474097331239,
|
| 457 |
+
"ap_class_7": 0.48461905380056314,
|
| 458 |
+
"auc_class_8": 0.8718181818181818,
|
| 459 |
+
"ap_class_8": 0.9557668073363521,
|
| 460 |
+
"auc_class_9": 0.54,
|
| 461 |
+
"ap_class_9": 0.9449988101406785,
|
| 462 |
+
"auc_class_10": 0.625,
|
| 463 |
+
"ap_class_10": 0.08014842300556586,
|
| 464 |
+
"auc_class_11": 0.6132057416267943,
|
| 465 |
+
"ap_class_11": 0.5036313192460101,
|
| 466 |
+
"auc_class_12": 0.6702777777777778,
|
| 467 |
+
"ap_class_12": 0.8816273830096099,
|
| 468 |
+
"auc_class_13": 0.8327173701614471,
|
| 469 |
+
"ap_class_13": 0.8135827093391166,
|
| 470 |
+
"mean_auc": 0.6249320524058766,
|
| 471 |
+
"mean_ap": 0.5052313361262101,
|
| 472 |
+
"val_mean_auc": 0.6249320524058766,
|
| 473 |
+
"val_accuracy": 0.799047619047619
|
| 474 |
+
},
|
| 475 |
+
"artifacts": {
|
| 476 |
+
"epoch_dir": "",
|
| 477 |
+
"image_path": "",
|
| 478 |
+
"explainability_path": "",
|
| 479 |
+
"text_path": "",
|
| 480 |
+
"metrics_path": "",
|
| 481 |
+
"query": "",
|
| 482 |
+
"output": ""
|
| 483 |
+
}
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 9,
|
| 487 |
+
"global_step": 945,
|
| 488 |
+
"train_metrics": {
|
| 489 |
+
"loss": 0.6674723855050958,
|
| 490 |
+
"cls_loss": 0.4050390692640181,
|
| 491 |
+
"lang_loss": 0.2624333160264151
|
| 492 |
+
},
|
| 493 |
+
"val_metrics": {
|
| 494 |
+
"loss": 0.7022355216741561,
|
| 495 |
+
"val_loss": 0.7022355216741561,
|
| 496 |
+
"accuracy": 0.8023809523809524,
|
| 497 |
+
"auc_class_0": 0.7806122448979592,
|
| 498 |
+
"ap_class_0": 0.5961739894596942,
|
| 499 |
+
"auc_class_1": 0.805210918114144,
|
| 500 |
+
"ap_class_1": 0.40345979697782675,
|
| 501 |
+
"auc_class_2": 0.6910001789228842,
|
| 502 |
+
"ap_class_2": 0.623295603469724,
|
| 503 |
+
"auc_class_3": 0.7025089605734768,
|
| 504 |
+
"ap_class_3": 0.559899679464558,
|
| 505 |
+
"auc_class_4": 0.020134228187919434,
|
| 506 |
+
"ap_class_4": 0.006802721088435374,
|
| 507 |
+
"auc_class_5": 0.5027160493827161,
|
| 508 |
+
"ap_class_5": 0.1299656359560648,
|
| 509 |
+
"auc_class_6": 0.5246478873239436,
|
| 510 |
+
"ap_class_6": 0.06765678201229443,
|
| 511 |
+
"auc_class_7": 0.706828885400314,
|
| 512 |
+
"ap_class_7": 0.5030982462808715,
|
| 513 |
+
"auc_class_8": 0.8768181818181818,
|
| 514 |
+
"ap_class_8": 0.9581284568188588,
|
| 515 |
+
"auc_class_9": 0.5821428571428571,
|
| 516 |
+
"ap_class_9": 0.9545829696410225,
|
| 517 |
+
"auc_class_10": 0.6986301369863014,
|
| 518 |
+
"ap_class_10": 0.0816047471620227,
|
| 519 |
+
"auc_class_11": 0.6135885167464115,
|
| 520 |
+
"ap_class_11": 0.502141144285916,
|
| 521 |
+
"auc_class_12": 0.6533333333333333,
|
| 522 |
+
"ap_class_12": 0.8733272827266616,
|
| 523 |
+
"auc_class_13": 0.84983466251702,
|
| 524 |
+
"ap_class_13": 0.8289076490031216,
|
| 525 |
+
"mean_auc": 0.6434290743819616,
|
| 526 |
+
"mean_ap": 0.5063603360247908,
|
| 527 |
+
"val_mean_auc": 0.6434290743819616,
|
| 528 |
+
"val_accuracy": 0.8023809523809524
|
| 529 |
+
},
|
| 530 |
+
"artifacts": {
|
| 531 |
+
"epoch_dir": "",
|
| 532 |
+
"image_path": "",
|
| 533 |
+
"explainability_path": "",
|
| 534 |
+
"text_path": "",
|
| 535 |
+
"metrics_path": "",
|
| 536 |
+
"query": "",
|
| 537 |
+
"output": ""
|
| 538 |
+
}
|
| 539 |
+
}
|
| 540 |
+
],
|
| 541 |
+
"best_val_loss": 0.4997508430480957,
|
| 542 |
+
"best_val_accuracy": 0.8078571428571428,
|
| 543 |
+
"patience_counter": 0,
|
| 544 |
+
"nonfinite_batches": 0,
|
| 545 |
+
"latest_epoch": 1,
|
| 546 |
+
"latest_train_metrics": {
|
| 547 |
+
"loss": 0.48728023986816404,
|
| 548 |
+
"cls_loss": 0.40819054186344145,
|
| 549 |
+
"lang_loss": 0.26363231625556943
|
| 550 |
+
},
|
| 551 |
+
"latest_val_metrics": {
|
| 552 |
+
"loss": 0.4997508430480957,
|
| 553 |
+
"val_loss": 0.4997508430480957,
|
| 554 |
+
"accuracy": 0.8078571428571428,
|
| 555 |
+
"auc_class_0": 0.797565093752777,
|
| 556 |
+
"ap_class_0": 0.6270909760843386,
|
| 557 |
+
"auc_class_1": 0.7115213437052517,
|
| 558 |
+
"ap_class_1": 0.3544332996395062,
|
| 559 |
+
"auc_class_2": 0.6008461908743128,
|
| 560 |
+
"ap_class_2": 0.5264903455212033,
|
| 561 |
+
"auc_class_3": 0.72174906805257,
|
| 562 |
+
"ap_class_3": 0.5686527777652727,
|
| 563 |
+
"auc_class_4": 0.7926112510495382,
|
| 564 |
+
"ap_class_4": 0.022943699055607232,
|
| 565 |
+
"auc_class_5": 0.4924422554347826,
|
| 566 |
+
"ap_class_5": 0.0798676454961326,
|
| 567 |
+
"auc_class_6": 0.584552304964539,
|
| 568 |
+
"ap_class_6": 0.07798493362315986,
|
| 569 |
+
"auc_class_7": 0.6714878447872837,
|
| 570 |
+
"ap_class_7": 0.4392857394424631,
|
| 571 |
+
"auc_class_8": 0.8372653475393201,
|
| 572 |
+
"ap_class_8": 0.9355292930535328,
|
| 573 |
+
"auc_class_9": 0.5634821380022836,
|
| 574 |
+
"ap_class_9": 0.8961004552178458,
|
| 575 |
+
"auc_class_10": 0.692079940784604,
|
| 576 |
+
"ap_class_10": 0.05983263286077463,
|
| 577 |
+
"auc_class_11": 0.6155530202583948,
|
| 578 |
+
"ap_class_11": 0.3838216378740145,
|
| 579 |
+
"auc_class_12": 0.6645918021680217,
|
| 580 |
+
"ap_class_12": 0.8936945467823779,
|
| 581 |
+
"auc_class_13": 0.8636328337345656,
|
| 582 |
+
"ap_class_13": 0.8321179028867138,
|
| 583 |
+
"mean_auc": 0.686384316793446,
|
| 584 |
+
"mean_ap": 0.4784175632359245,
|
| 585 |
+
"val_mean_auc": 0.686384316793446,
|
| 586 |
+
"val_accuracy": 0.8078571428571428,
|
| 587 |
+
"lang_bleu1": 0.14975372798294315,
|
| 588 |
+
"lang_bleu2": 0.08725139574676911,
|
| 589 |
+
"lang_bleu3": 0.058791415390470565,
|
| 590 |
+
"lang_bleu4": 0.03877119553028646,
|
| 591 |
+
"lang_rouge1": 0.3121960329479454,
|
| 592 |
+
"lang_rougeL": 0.18227553834834273
|
| 593 |
+
}
|
| 594 |
+
}
|