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onnx/model_quantized.onnx — int8 quantized weights (preferred for browser)config.json / ort_config.json / inference_config.json1{
2 "task": "ai_writing_detection",
3 "labels": {
4 "0": "human",
5 "1": "machine"
6 },
7 "threshold": 0.9800000000000003,
8 "base_model": "allenai/scibert_scivocab_uncased",
9 "max_len": 192,
10 "n_train": 140000,
11 "train_minutes": 157.7,
12 "val_point": {
13 "threshold": 0.9800000000000003,
14 "precision": 0.869709185142528,
15 "recall": 0.890346352247605
16 },
17 "metrics": {
18 "test": {
19 "precision": 0.9037943188886585,
20 "recall": 0.9256742408154598,
21 "f1": 0.914603441040705,
22 "auc": 0.9782432780946265,
23 "n": 30000
24 },
25 "mage_ood": {
26 "precision": 0.7616175948918056,
27 "recall": 0.8591436574629852,
28 "f1": 0.8074464084242197,
29 "auc": 0.8685142623467625,
30 "n": 4780
31 },
32 "mage_para": {
33 "precision": 0.8389647735442128,
34 "recall": 0.7002,
35 "f1": 0.763327155783277,
36 "auc": 0.7728153441473038,
37 "n": 7281
38 },
39 "idmgsp_ood": {
40 "precision": 0.9001478295927967,
41 "recall": 0.6698,
42 "f1": 0.7680752250444355,
43 "auc": 0.91415222,
44 "n": 20000
45 }
46 }
47}