AUBIN-12B-Control / reports /mind2web_final.json
emrevrg's picture
AUBIN-Learn: instant self-learning memory, fast skills, self-calibration + reports
b707206 verified
Raw History Blame Contribute Delete
2.43 kB
{
"runs/m2w31\\m2w31_domain.json": {
"split": "test_domain",
"model": "google/gemma-4-31B-it",
"adapter": "emrevrg/AUBIN-31B",
"protocol": "MindAct multi-choice (groups of 5 + None, iterative), top-50 by official ranker",
"summary": {
"n": 200,
"element_accuracy": 0.54,
"operation_f1": 0.8646,
"step_success_rate": 0.485,
"pos_in_topk_rate": 0.9,
"minutes": 96.5
},
"train": null
},
"runs/m2w31\\m2w31_website.json": {
"split": "test_website",
"model": "google/gemma-4-31B-it",
"adapter": "emrevrg/AUBIN-31B",
"protocol": "MindAct multi-choice (groups of 5 + None, iterative), top-50 by official ranker",
"summary": {
"n": 200,
"element_accuracy": 0.41,
"operation_f1": 0.8202,
"step_success_rate": 0.335,
"pos_in_topk_rate": 0.905,
"minutes": 108.7
},
"train": null
},
"runs/sat/aubin-sat-12ef\\m2wa_test_domain.json": {
"split": "test_domain",
"model": "google/gemma-4-12B-it",
"adapter": "hf:emrevrg/AUBIN-12B",
"protocol": "MindAct multi-choice (groups of 5 + None, iterative), top-50 by official ranker",
"summary": {
"n": 200,
"element_accuracy": 0.475,
"operation_f1": 0.8767,
"step_success_rate": 0.45,
"pos_in_topk_rate": 0.9,
"minutes": 228.6
},
"train": {
"steps": 1200,
"items": 7995,
"lr": 3e-05,
"bs": 4,
"minutes": 185.3,
"best_dev": [
0.8133333333333334,
1000
],
"adapter_dir": "/kaggle/working/lora_m2wa"
}
},
"runs/sat/aubin-sat-12ef\\m2wa_test_task.json": {
"split": "test_task",
"model": "google/gemma-4-12B-it",
"adapter": "/kaggle/working/lora_m2wa",
"protocol": "MindAct multi-choice (groups of 5 + None, iterative), top-50 by official ranker",
"summary": {
"n": 200,
"element_accuracy": 0.48,
"operation_f1": 0.8145,
"step_success_rate": 0.4,
"pos_in_topk_rate": 0.945,
"minutes": 35.6
},
"train": null
},
"runs/sat/aubin-sat-12ef\\m2wa_test_website.json": {
"split": "test_website",
"model": "google/gemma-4-12B-it",
"adapter": "/kaggle/working/lora_m2wa",
"protocol": "MindAct multi-choice (groups of 5 + None, iterative), top-50 by official ranker",
"summary": {
"n": 200,
"element_accuracy": 0.375,
"operation_f1": 0.8162,
"step_success_rate": 0.32,
"pos_in_topk_rate": 0.905,
"minutes": 34.6
},
"train": null
}
}