Instructions to use emrevrg/AUBIN-12B-Control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-12B-Control with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12B-it") model = PeftModel.from_pretrained(base_model, "emrevrg/AUBIN-12B-Control") - Notebooks
- Google Colab
- Kaggle
Download reports/mind2web_final.json from emrevrg/AUBIN-12B-Control: direct link, hf CLI and curl.
- Browser
- Download file 2.43 kB
-
https://huggingface.co/emrevrg/AUBIN-12B-Control/resolve/main/reports/mind2web_final.json
- Command line
-
hf download hf://emrevrg/AUBIN-12B-Control/reports/mind2web_final.json
-
curl -L -o mind2web_final.json https://huggingface.co/emrevrg/AUBIN-12B-Control/resolve/main/reports/mind2web_final.json
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 | |
| } | |
| } |