Ubuntu
commited on
Commit
·
7820b0f
0
Parent(s):
added models
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +74 -0
- app.py +15 -0
- requirements.txt +9 -0
- research/ai_detector/checkpoint-281/config.json +63 -0
- research/ai_detector/checkpoint-281/model.safetensors +3 -0
- research/ai_detector/checkpoint-281/optimizer.pt +3 -0
- research/ai_detector/checkpoint-281/preprocessor_config.json +22 -0
- research/ai_detector/checkpoint-281/rng_state.pth +0 -0
- research/ai_detector/checkpoint-281/scheduler.pt +0 -0
- research/ai_detector/checkpoint-281/trainer_state.json +198 -0
- research/ai_detector/checkpoint-281/training_args.bin +0 -0
- research/ai_detector/checkpoint-562/config.json +63 -0
- research/ai_detector/checkpoint-562/model.safetensors +3 -0
- research/ai_detector/checkpoint-562/optimizer.pt +3 -0
- research/ai_detector/checkpoint-562/preprocessor_config.json +22 -0
- research/ai_detector/checkpoint-562/rng_state.pth +0 -0
- research/ai_detector/checkpoint-562/scheduler.pt +0 -0
- research/ai_detector/checkpoint-562/trainer_state.json +375 -0
- research/ai_detector/checkpoint-562/training_args.bin +0 -0
- research/ai_detector/checkpoint-843/config.json +63 -0
- research/ai_detector/checkpoint-843/model.safetensors +3 -0
- research/ai_detector/checkpoint-843/optimizer.pt +3 -0
- research/ai_detector/checkpoint-843/preprocessor_config.json +22 -0
- research/ai_detector/checkpoint-843/rng_state.pth +0 -0
- research/ai_detector/checkpoint-843/scheduler.pt +0 -0
- research/ai_detector/checkpoint-843/trainer_state.json +552 -0
- research/ai_detector/checkpoint-843/training_args.bin +0 -0
- research/ai_detector_v2/checkpoint-1210/config.json +63 -0
- research/ai_detector_v2/checkpoint-1210/model.safetensors +3 -0
- research/ai_detector_v2/checkpoint-1210/optimizer.pt +3 -0
- research/ai_detector_v2/checkpoint-1210/preprocessor_config.json +22 -0
- research/ai_detector_v2/checkpoint-1210/rng_state.pth +0 -0
- research/ai_detector_v2/checkpoint-1210/scheduler.pt +0 -0
- research/ai_detector_v2/checkpoint-1210/trainer_state.json +765 -0
- research/ai_detector_v2/checkpoint-1210/training_args.bin +0 -0
- research/ai_detector_v2/checkpoint-1815/config.json +63 -0
- research/ai_detector_v2/checkpoint-1815/model.safetensors +3 -0
- research/ai_detector_v2/checkpoint-1815/optimizer.pt +3 -0
- research/ai_detector_v2/checkpoint-1815/preprocessor_config.json +22 -0
- research/ai_detector_v2/checkpoint-1815/rng_state.pth +0 -0
- research/ai_detector_v2/checkpoint-1815/scheduler.pt +0 -0
- research/ai_detector_v2/checkpoint-1815/trainer_state.json +1134 -0
- research/ai_detector_v2/checkpoint-1815/training_args.bin +0 -0
- research/ai_detector_v2/checkpoint-605/config.json +63 -0
- research/ai_detector_v2/checkpoint-605/model.safetensors +3 -0
- research/ai_detector_v2/checkpoint-605/optimizer.pt +3 -0
- research/ai_detector_v2/checkpoint-605/preprocessor_config.json +22 -0
- research/ai_detector_v2/checkpoint-605/rng_state.pth +0 -0
- research/ai_detector_v2/checkpoint-605/scheduler.pt +0 -0
- research/ai_detector_v2/checkpoint-605/trainer_state.json +390 -0
.gitattributes
ADDED
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
/research/ai_detector/checkpoint-281/model.safetensors filter=lfs diff=lfs merge=lfs -text
|
2 |
+
/research/ai_detector/checkpoint-281/optimizer.pt filter=lfs diff=lfs merge=lfs -text
|
3 |
+
/research/ai_detector/checkpoint-562/model.safetensors filter=lfs diff=lfs merge=lfs -text
|
4 |
+
/research/ai_detector/checkpoint-562/optimizer.pt filter=lfs diff=lfs merge=lfs -text
|
5 |
+
/research/ai_detector/checkpoint-843/model.safetensors filter=lfs diff=lfs merge=lfs -text
|
6 |
+
/research/ai_detector/checkpoint-843/optimizer.pt filter=lfs diff=lfs merge=lfs -text
|
7 |
+
/research/ai_detector_v2/checkpoint-1210/model.safetensors filter=lfs diff=lfs merge=lfs -text
|
8 |
+
/research/ai_detector_v2/checkpoint-1210/optimizer.pt filter=lfs diff=lfs merge=lfs -text
|
9 |
+
/research/ai_detector_v2/checkpoint-1815/model.safetensors filter=lfs diff=lfs merge=lfs -text
|
10 |
+
/research/ai_detector_v2/checkpoint-1815/optimizer.pt filter=lfs diff=lfs merge=lfs -text
|
11 |
+
/research/ai_detector_v2/checkpoint-605/model.safetensors filter=lfs diff=lfs merge=lfs -text
|
12 |
+
/research/ai_detector_v2/checkpoint-605/optimizer.pt filter=lfs diff=lfs merge=lfs -text
|
13 |
+
/research/dataset/test/data-00000-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
14 |
+
/research/dataset/test/data-00001-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
15 |
+
/research/dataset/test/data-00002-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
16 |
+
/research/dataset/test/data-00003-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
17 |
+
/research/dataset/test/data-00004-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
18 |
+
/research/dataset/test/data-00005-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
19 |
+
/research/dataset/test/data-00006-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
20 |
+
/research/dataset/test/data-00007-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
21 |
+
/research/dataset/test/data-00008-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
22 |
+
/research/dataset/test/data-00009-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
23 |
+
/research/dataset/test/data-00010-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
24 |
+
/research/dataset/test/data-00011-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
25 |
+
/research/dataset/test/data-00012-of-00013.arrow filter=lfs diff=lfs merge=lfs -text
|
26 |
+
/research/dataset/train/data-00000-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
27 |
+
/research/dataset/train/data-00001-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
28 |
+
/research/dataset/train/data-00002-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
29 |
+
/research/dataset/train/data-00003-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
30 |
+
/research/dataset/train/data-00004-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
31 |
+
/research/dataset/train/data-00005-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
32 |
+
/research/dataset/train/data-00006-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
33 |
+
/research/dataset/train/data-00007-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
34 |
+
/research/dataset/train/data-00008-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
35 |
+
/research/dataset/train/data-00009-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
36 |
+
/research/dataset/train/data-00010-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
37 |
+
/research/dataset/train/data-00011-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
38 |
+
/research/dataset/train/data-00012-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
39 |
+
/research/dataset/train/data-00013-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
40 |
+
/research/dataset/train/data-00014-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
41 |
+
/research/dataset/train/data-00015-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
42 |
+
/research/dataset/train/data-00016-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
43 |
+
/research/dataset/train/data-00017-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
44 |
+
/research/dataset/train/data-00018-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
45 |
+
/research/dataset/train/data-00019-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
46 |
+
/research/dataset/train/data-00020-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
47 |
+
/research/dataset/train/data-00021-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
48 |
+
/research/dataset/train/data-00022-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
49 |
+
/research/dataset/train/data-00023-of-00024.arrow filter=lfs diff=lfs merge=lfs -text
|
50 |
+
/research/dataset/validation/data-00000-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
51 |
+
/research/dataset/validation/data-00001-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
52 |
+
/research/dataset/validation/data-00002-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
53 |
+
/research/dataset/validation/data-00003-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
54 |
+
/research/dataset/validation/data-00004-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
55 |
+
/research/dataset/validation/data-00005-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
56 |
+
/research/dataset/validation/data-00006-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
57 |
+
/research/dataset/validation/data-00007-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
58 |
+
/research/dataset/validation/data-00008-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
59 |
+
/research/dataset/validation/data-00009-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
60 |
+
/research/dataset/validation/data-00010-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
61 |
+
/research/dataset/validation/data-00011-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
62 |
+
/research/dataset/validation/data-00012-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
63 |
+
/research/dataset/validation/data-00013-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
64 |
+
/research/dataset/validation/data-00014-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
65 |
+
/research/dataset/validation/data-00015-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
66 |
+
/research/dataset/validation/data-00016-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
67 |
+
/research/dataset/validation/data-00017-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
68 |
+
/research/dataset/validation/data-00018-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
69 |
+
/research/dataset/validation/data-00019-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
70 |
+
/research/dataset/validation/data-00020-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
71 |
+
/research/dataset/validation/data-00021-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
72 |
+
/research/dataset/validation/data-00022-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
73 |
+
/research/dataset/validation/data-00023-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
74 |
+
/research/dataset/validation/data-00024-of-00025.arrow filter=lfs diff=lfs merge=lfs -text
|
app.py
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from transformers import pipeline
|
2 |
+
from PIL import Image
|
3 |
+
import streamlit as st
|
4 |
+
classifier = pipeline("image-classification", model="research/ai_detector_v2/checkpoint-1815")
|
5 |
+
|
6 |
+
|
7 |
+
with st.sidebar:
|
8 |
+
image= st.sidebar.file_uploader("Input image:", type=["png", "jpg"])
|
9 |
+
btn= st.button("Submit")
|
10 |
+
|
11 |
+
if btn:
|
12 |
+
img= original_image= Image.open(image)
|
13 |
+
st.json(
|
14 |
+
classifier(img)
|
15 |
+
)
|
requirements.txt
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
transformers
|
2 |
+
evaluate
|
3 |
+
datasets
|
4 |
+
Pillow
|
5 |
+
torch
|
6 |
+
torchvision
|
7 |
+
scikit-learn
|
8 |
+
accelerate
|
9 |
+
streamlit
|
research/ai_detector/checkpoint-281/config.json
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "umm-maybe/AI-image-detector",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
18,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 128,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 1024,
|
19 |
+
"id2label": {
|
20 |
+
"0": "ai_gen",
|
21 |
+
"1": "human"
|
22 |
+
},
|
23 |
+
"image_size": 224,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"ai_gen": "0",
|
27 |
+
"human": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"max_length": 128,
|
31 |
+
"mlp_ratio": 4.0,
|
32 |
+
"model_type": "swin",
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_heads": [
|
35 |
+
4,
|
36 |
+
8,
|
37 |
+
16,
|
38 |
+
32
|
39 |
+
],
|
40 |
+
"num_layers": 4,
|
41 |
+
"out_features": [
|
42 |
+
"stage4"
|
43 |
+
],
|
44 |
+
"out_indices": [
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"padding": "max_length",
|
48 |
+
"patch_size": 4,
|
49 |
+
"path_norm": true,
|
50 |
+
"problem_type": "single_label_classification",
|
51 |
+
"qkv_bias": true,
|
52 |
+
"stage_names": [
|
53 |
+
"stem",
|
54 |
+
"stage1",
|
55 |
+
"stage2",
|
56 |
+
"stage3",
|
57 |
+
"stage4"
|
58 |
+
],
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.37.2",
|
61 |
+
"use_absolute_embeddings": false,
|
62 |
+
"window_size": 7
|
63 |
+
}
|
research/ai_detector/checkpoint-281/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15a1521fef8e655b49176248ecc2bd0a275b3b7c2e4d3ff372f55a6afbe5f1ec
|
3 |
+
size 347498816
|
research/ai_detector/checkpoint-281/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0ca28a5528de829c1aa0c706f308e3a9084c481b474a7bb2983dfc59db461795
|
3 |
+
size 694317645
|
research/ai_detector/checkpoint-281/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
research/ai_detector/checkpoint-281/rng_state.pth
ADDED
Binary file (14.2 kB). View file
|
|
research/ai_detector/checkpoint-281/scheduler.pt
ADDED
Binary file (1.06 kB). View file
|
|
research/ai_detector/checkpoint-281/trainer_state.json
ADDED
@@ -0,0 +1,198 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9964804552942939,
|
3 |
+
"best_model_checkpoint": "ai_detector/checkpoint-281",
|
4 |
+
"epoch": 0.9991111111111111,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 281,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04,
|
13 |
+
"learning_rate": 5.882352941176471e-06,
|
14 |
+
"loss": 0.6876,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.07,
|
19 |
+
"learning_rate": 1.1764705882352942e-05,
|
20 |
+
"loss": 0.4009,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.11,
|
25 |
+
"learning_rate": 1.7647058823529414e-05,
|
26 |
+
"loss": 0.2111,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.14,
|
31 |
+
"learning_rate": 2.3529411764705884e-05,
|
32 |
+
"loss": 0.0845,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.18,
|
37 |
+
"learning_rate": 2.9411764705882354e-05,
|
38 |
+
"loss": 0.052,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.21,
|
43 |
+
"learning_rate": 3.529411764705883e-05,
|
44 |
+
"loss": 0.0831,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.25,
|
49 |
+
"learning_rate": 4.11764705882353e-05,
|
50 |
+
"loss": 0.0719,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.28,
|
55 |
+
"learning_rate": 4.705882352941177e-05,
|
56 |
+
"loss": 0.0493,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.32,
|
61 |
+
"learning_rate": 4.967018469656992e-05,
|
62 |
+
"loss": 0.0278,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.36,
|
67 |
+
"learning_rate": 4.901055408970976e-05,
|
68 |
+
"loss": 0.0447,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.39,
|
73 |
+
"learning_rate": 4.835092348284961e-05,
|
74 |
+
"loss": 0.0597,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.43,
|
79 |
+
"learning_rate": 4.7691292875989446e-05,
|
80 |
+
"loss": 0.0194,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.46,
|
85 |
+
"learning_rate": 4.703166226912929e-05,
|
86 |
+
"loss": 0.0308,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.5,
|
91 |
+
"learning_rate": 4.6372031662269136e-05,
|
92 |
+
"loss": 0.0328,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.53,
|
97 |
+
"learning_rate": 4.5712401055408974e-05,
|
98 |
+
"loss": 0.0415,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.57,
|
103 |
+
"learning_rate": 4.505277044854881e-05,
|
104 |
+
"loss": 0.0075,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.6,
|
109 |
+
"learning_rate": 4.439313984168866e-05,
|
110 |
+
"loss": 0.0358,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.64,
|
115 |
+
"learning_rate": 4.3733509234828496e-05,
|
116 |
+
"loss": 0.0684,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.68,
|
121 |
+
"learning_rate": 4.307387862796834e-05,
|
122 |
+
"loss": 0.0382,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.71,
|
127 |
+
"learning_rate": 4.2414248021108186e-05,
|
128 |
+
"loss": 0.0252,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.75,
|
133 |
+
"learning_rate": 4.1754617414248024e-05,
|
134 |
+
"loss": 0.0356,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.78,
|
139 |
+
"learning_rate": 4.109498680738786e-05,
|
140 |
+
"loss": 0.0214,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.82,
|
145 |
+
"learning_rate": 4.043535620052771e-05,
|
146 |
+
"loss": 0.0137,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.85,
|
151 |
+
"learning_rate": 3.9775725593667545e-05,
|
152 |
+
"loss": 0.091,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.89,
|
157 |
+
"learning_rate": 3.911609498680739e-05,
|
158 |
+
"loss": 0.0103,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.92,
|
163 |
+
"learning_rate": 3.8456464379947235e-05,
|
164 |
+
"loss": 0.0418,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.96,
|
169 |
+
"learning_rate": 3.779683377308707e-05,
|
170 |
+
"loss": 0.0089,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.0,
|
175 |
+
"learning_rate": 3.713720316622691e-05,
|
176 |
+
"loss": 0.0347,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.0,
|
181 |
+
"eval_accuracy": 0.9964804552942939,
|
182 |
+
"eval_loss": 0.013468941673636436,
|
183 |
+
"eval_runtime": 252.3562,
|
184 |
+
"eval_samples_per_second": 52.917,
|
185 |
+
"eval_steps_per_second": 3.309,
|
186 |
+
"step": 281
|
187 |
+
}
|
188 |
+
],
|
189 |
+
"logging_steps": 10,
|
190 |
+
"max_steps": 843,
|
191 |
+
"num_input_tokens_seen": 0,
|
192 |
+
"num_train_epochs": 3,
|
193 |
+
"save_steps": 500,
|
194 |
+
"total_flos": 1.410220001304576e+18,
|
195 |
+
"train_batch_size": 16,
|
196 |
+
"trial_name": null,
|
197 |
+
"trial_params": null
|
198 |
+
}
|
research/ai_detector/checkpoint-281/training_args.bin
ADDED
Binary file (4.66 kB). View file
|
|
research/ai_detector/checkpoint-562/config.json
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "umm-maybe/AI-image-detector",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
18,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 128,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 1024,
|
19 |
+
"id2label": {
|
20 |
+
"0": "ai_gen",
|
21 |
+
"1": "human"
|
22 |
+
},
|
23 |
+
"image_size": 224,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"ai_gen": "0",
|
27 |
+
"human": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"max_length": 128,
|
31 |
+
"mlp_ratio": 4.0,
|
32 |
+
"model_type": "swin",
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_heads": [
|
35 |
+
4,
|
36 |
+
8,
|
37 |
+
16,
|
38 |
+
32
|
39 |
+
],
|
40 |
+
"num_layers": 4,
|
41 |
+
"out_features": [
|
42 |
+
"stage4"
|
43 |
+
],
|
44 |
+
"out_indices": [
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"padding": "max_length",
|
48 |
+
"patch_size": 4,
|
49 |
+
"path_norm": true,
|
50 |
+
"problem_type": "single_label_classification",
|
51 |
+
"qkv_bias": true,
|
52 |
+
"stage_names": [
|
53 |
+
"stem",
|
54 |
+
"stage1",
|
55 |
+
"stage2",
|
56 |
+
"stage3",
|
57 |
+
"stage4"
|
58 |
+
],
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.37.2",
|
61 |
+
"use_absolute_embeddings": false,
|
62 |
+
"window_size": 7
|
63 |
+
}
|
research/ai_detector/checkpoint-562/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e9c54f1d503fc157004c496f277f4f6f5612c61527096bfb4b8afb7d5a18df36
|
3 |
+
size 347498816
|
research/ai_detector/checkpoint-562/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5bb5c0e90ba3073b92823ea93c8ef1fe01f6e396117253d69b9cd60966177348
|
3 |
+
size 694317645
|
research/ai_detector/checkpoint-562/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
research/ai_detector/checkpoint-562/rng_state.pth
ADDED
Binary file (14.2 kB). View file
|
|
research/ai_detector/checkpoint-562/scheduler.pt
ADDED
Binary file (1.06 kB). View file
|
|
research/ai_detector/checkpoint-562/trainer_state.json
ADDED
@@ -0,0 +1,375 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9964804552942939,
|
3 |
+
"best_model_checkpoint": "ai_detector/checkpoint-281",
|
4 |
+
"epoch": 1.9982222222222221,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 562,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04,
|
13 |
+
"learning_rate": 5.882352941176471e-06,
|
14 |
+
"loss": 0.6876,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.07,
|
19 |
+
"learning_rate": 1.1764705882352942e-05,
|
20 |
+
"loss": 0.4009,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.11,
|
25 |
+
"learning_rate": 1.7647058823529414e-05,
|
26 |
+
"loss": 0.2111,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.14,
|
31 |
+
"learning_rate": 2.3529411764705884e-05,
|
32 |
+
"loss": 0.0845,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.18,
|
37 |
+
"learning_rate": 2.9411764705882354e-05,
|
38 |
+
"loss": 0.052,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.21,
|
43 |
+
"learning_rate": 3.529411764705883e-05,
|
44 |
+
"loss": 0.0831,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.25,
|
49 |
+
"learning_rate": 4.11764705882353e-05,
|
50 |
+
"loss": 0.0719,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.28,
|
55 |
+
"learning_rate": 4.705882352941177e-05,
|
56 |
+
"loss": 0.0493,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.32,
|
61 |
+
"learning_rate": 4.967018469656992e-05,
|
62 |
+
"loss": 0.0278,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.36,
|
67 |
+
"learning_rate": 4.901055408970976e-05,
|
68 |
+
"loss": 0.0447,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.39,
|
73 |
+
"learning_rate": 4.835092348284961e-05,
|
74 |
+
"loss": 0.0597,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.43,
|
79 |
+
"learning_rate": 4.7691292875989446e-05,
|
80 |
+
"loss": 0.0194,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.46,
|
85 |
+
"learning_rate": 4.703166226912929e-05,
|
86 |
+
"loss": 0.0308,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.5,
|
91 |
+
"learning_rate": 4.6372031662269136e-05,
|
92 |
+
"loss": 0.0328,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.53,
|
97 |
+
"learning_rate": 4.5712401055408974e-05,
|
98 |
+
"loss": 0.0415,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.57,
|
103 |
+
"learning_rate": 4.505277044854881e-05,
|
104 |
+
"loss": 0.0075,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.6,
|
109 |
+
"learning_rate": 4.439313984168866e-05,
|
110 |
+
"loss": 0.0358,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.64,
|
115 |
+
"learning_rate": 4.3733509234828496e-05,
|
116 |
+
"loss": 0.0684,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.68,
|
121 |
+
"learning_rate": 4.307387862796834e-05,
|
122 |
+
"loss": 0.0382,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.71,
|
127 |
+
"learning_rate": 4.2414248021108186e-05,
|
128 |
+
"loss": 0.0252,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.75,
|
133 |
+
"learning_rate": 4.1754617414248024e-05,
|
134 |
+
"loss": 0.0356,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.78,
|
139 |
+
"learning_rate": 4.109498680738786e-05,
|
140 |
+
"loss": 0.0214,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.82,
|
145 |
+
"learning_rate": 4.043535620052771e-05,
|
146 |
+
"loss": 0.0137,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.85,
|
151 |
+
"learning_rate": 3.9775725593667545e-05,
|
152 |
+
"loss": 0.091,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.89,
|
157 |
+
"learning_rate": 3.911609498680739e-05,
|
158 |
+
"loss": 0.0103,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.92,
|
163 |
+
"learning_rate": 3.8456464379947235e-05,
|
164 |
+
"loss": 0.0418,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.96,
|
169 |
+
"learning_rate": 3.779683377308707e-05,
|
170 |
+
"loss": 0.0089,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.0,
|
175 |
+
"learning_rate": 3.713720316622691e-05,
|
176 |
+
"loss": 0.0347,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.0,
|
181 |
+
"eval_accuracy": 0.9964804552942939,
|
182 |
+
"eval_loss": 0.013468941673636436,
|
183 |
+
"eval_runtime": 252.3562,
|
184 |
+
"eval_samples_per_second": 52.917,
|
185 |
+
"eval_steps_per_second": 3.309,
|
186 |
+
"step": 281
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.03,
|
190 |
+
"learning_rate": 3.6477572559366756e-05,
|
191 |
+
"loss": 0.0258,
|
192 |
+
"step": 290
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.07,
|
196 |
+
"learning_rate": 3.58179419525066e-05,
|
197 |
+
"loss": 0.0297,
|
198 |
+
"step": 300
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.1,
|
202 |
+
"learning_rate": 3.515831134564644e-05,
|
203 |
+
"loss": 0.029,
|
204 |
+
"step": 310
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.14,
|
208 |
+
"learning_rate": 3.4498680738786285e-05,
|
209 |
+
"loss": 0.0023,
|
210 |
+
"step": 320
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.17,
|
214 |
+
"learning_rate": 3.383905013192612e-05,
|
215 |
+
"loss": 0.013,
|
216 |
+
"step": 330
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.21,
|
220 |
+
"learning_rate": 3.317941952506596e-05,
|
221 |
+
"loss": 0.0203,
|
222 |
+
"step": 340
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 1.24,
|
226 |
+
"learning_rate": 3.2519788918205806e-05,
|
227 |
+
"loss": 0.0286,
|
228 |
+
"step": 350
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.28,
|
232 |
+
"learning_rate": 3.186015831134565e-05,
|
233 |
+
"loss": 0.0236,
|
234 |
+
"step": 360
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.32,
|
238 |
+
"learning_rate": 3.120052770448549e-05,
|
239 |
+
"loss": 0.0126,
|
240 |
+
"step": 370
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.35,
|
244 |
+
"learning_rate": 3.0540897097625334e-05,
|
245 |
+
"loss": 0.02,
|
246 |
+
"step": 380
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 1.39,
|
250 |
+
"learning_rate": 2.9881266490765176e-05,
|
251 |
+
"loss": 0.0215,
|
252 |
+
"step": 390
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.42,
|
256 |
+
"learning_rate": 2.9221635883905014e-05,
|
257 |
+
"loss": 0.0143,
|
258 |
+
"step": 400
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.46,
|
262 |
+
"learning_rate": 2.8562005277044855e-05,
|
263 |
+
"loss": 0.0054,
|
264 |
+
"step": 410
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.49,
|
268 |
+
"learning_rate": 2.79023746701847e-05,
|
269 |
+
"loss": 0.0072,
|
270 |
+
"step": 420
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.53,
|
274 |
+
"learning_rate": 2.724274406332454e-05,
|
275 |
+
"loss": 0.005,
|
276 |
+
"step": 430
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.56,
|
280 |
+
"learning_rate": 2.658311345646438e-05,
|
281 |
+
"loss": 0.0142,
|
282 |
+
"step": 440
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.6,
|
286 |
+
"learning_rate": 2.5923482849604225e-05,
|
287 |
+
"loss": 0.0155,
|
288 |
+
"step": 450
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 1.64,
|
292 |
+
"learning_rate": 2.5263852242744063e-05,
|
293 |
+
"loss": 0.0109,
|
294 |
+
"step": 460
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.67,
|
298 |
+
"learning_rate": 2.4604221635883905e-05,
|
299 |
+
"loss": 0.0073,
|
300 |
+
"step": 470
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 1.71,
|
304 |
+
"learning_rate": 2.3944591029023746e-05,
|
305 |
+
"loss": 0.0126,
|
306 |
+
"step": 480
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 1.74,
|
310 |
+
"learning_rate": 2.328496042216359e-05,
|
311 |
+
"loss": 0.0154,
|
312 |
+
"step": 490
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 1.78,
|
316 |
+
"learning_rate": 2.262532981530343e-05,
|
317 |
+
"loss": 0.0065,
|
318 |
+
"step": 500
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 1.81,
|
322 |
+
"learning_rate": 2.196569920844327e-05,
|
323 |
+
"loss": 0.0275,
|
324 |
+
"step": 510
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.85,
|
328 |
+
"learning_rate": 2.1306068601583116e-05,
|
329 |
+
"loss": 0.0296,
|
330 |
+
"step": 520
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 1.88,
|
334 |
+
"learning_rate": 2.0646437994722954e-05,
|
335 |
+
"loss": 0.0043,
|
336 |
+
"step": 530
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 1.92,
|
340 |
+
"learning_rate": 1.9986807387862796e-05,
|
341 |
+
"loss": 0.0012,
|
342 |
+
"step": 540
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 1.96,
|
346 |
+
"learning_rate": 1.932717678100264e-05,
|
347 |
+
"loss": 0.0044,
|
348 |
+
"step": 550
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 1.99,
|
352 |
+
"learning_rate": 1.866754617414248e-05,
|
353 |
+
"loss": 0.0009,
|
354 |
+
"step": 560
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.0,
|
358 |
+
"eval_accuracy": 0.9942339373970346,
|
359 |
+
"eval_loss": 0.02113017998635769,
|
360 |
+
"eval_runtime": 251.3615,
|
361 |
+
"eval_samples_per_second": 53.127,
|
362 |
+
"eval_steps_per_second": 3.322,
|
363 |
+
"step": 562
|
364 |
+
}
|
365 |
+
],
|
366 |
+
"logging_steps": 10,
|
367 |
+
"max_steps": 843,
|
368 |
+
"num_input_tokens_seen": 0,
|
369 |
+
"num_train_epochs": 3,
|
370 |
+
"save_steps": 500,
|
371 |
+
"total_flos": 2.820440002609152e+18,
|
372 |
+
"train_batch_size": 16,
|
373 |
+
"trial_name": null,
|
374 |
+
"trial_params": null
|
375 |
+
}
|
research/ai_detector/checkpoint-562/training_args.bin
ADDED
Binary file (4.66 kB). View file
|
|
research/ai_detector/checkpoint-843/config.json
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "umm-maybe/AI-image-detector",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
18,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 128,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 1024,
|
19 |
+
"id2label": {
|
20 |
+
"0": "ai_gen",
|
21 |
+
"1": "human"
|
22 |
+
},
|
23 |
+
"image_size": 224,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"ai_gen": "0",
|
27 |
+
"human": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"max_length": 128,
|
31 |
+
"mlp_ratio": 4.0,
|
32 |
+
"model_type": "swin",
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_heads": [
|
35 |
+
4,
|
36 |
+
8,
|
37 |
+
16,
|
38 |
+
32
|
39 |
+
],
|
40 |
+
"num_layers": 4,
|
41 |
+
"out_features": [
|
42 |
+
"stage4"
|
43 |
+
],
|
44 |
+
"out_indices": [
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"padding": "max_length",
|
48 |
+
"patch_size": 4,
|
49 |
+
"path_norm": true,
|
50 |
+
"problem_type": "single_label_classification",
|
51 |
+
"qkv_bias": true,
|
52 |
+
"stage_names": [
|
53 |
+
"stem",
|
54 |
+
"stage1",
|
55 |
+
"stage2",
|
56 |
+
"stage3",
|
57 |
+
"stage4"
|
58 |
+
],
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.37.2",
|
61 |
+
"use_absolute_embeddings": false,
|
62 |
+
"window_size": 7
|
63 |
+
}
|
research/ai_detector/checkpoint-843/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f4fd37a2fe0e66c4eb2afe850d5514b90ab5ab8ad6dd35cfc36b2088766aae32
|
3 |
+
size 347498816
|
research/ai_detector/checkpoint-843/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4c022c912a00d486187e84b7e495af6dafbd3d78eaca3dfcd6a78f6ace13eb50
|
3 |
+
size 694317645
|
research/ai_detector/checkpoint-843/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
research/ai_detector/checkpoint-843/rng_state.pth
ADDED
Binary file (14.2 kB). View file
|
|
research/ai_detector/checkpoint-843/scheduler.pt
ADDED
Binary file (1.06 kB). View file
|
|
research/ai_detector/checkpoint-843/trainer_state.json
ADDED
@@ -0,0 +1,552 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9975288303130149,
|
3 |
+
"best_model_checkpoint": "ai_detector/checkpoint-843",
|
4 |
+
"epoch": 2.997333333333333,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 843,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04,
|
13 |
+
"learning_rate": 5.882352941176471e-06,
|
14 |
+
"loss": 0.6876,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.07,
|
19 |
+
"learning_rate": 1.1764705882352942e-05,
|
20 |
+
"loss": 0.4009,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.11,
|
25 |
+
"learning_rate": 1.7647058823529414e-05,
|
26 |
+
"loss": 0.2111,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.14,
|
31 |
+
"learning_rate": 2.3529411764705884e-05,
|
32 |
+
"loss": 0.0845,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.18,
|
37 |
+
"learning_rate": 2.9411764705882354e-05,
|
38 |
+
"loss": 0.052,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.21,
|
43 |
+
"learning_rate": 3.529411764705883e-05,
|
44 |
+
"loss": 0.0831,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.25,
|
49 |
+
"learning_rate": 4.11764705882353e-05,
|
50 |
+
"loss": 0.0719,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.28,
|
55 |
+
"learning_rate": 4.705882352941177e-05,
|
56 |
+
"loss": 0.0493,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.32,
|
61 |
+
"learning_rate": 4.967018469656992e-05,
|
62 |
+
"loss": 0.0278,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.36,
|
67 |
+
"learning_rate": 4.901055408970976e-05,
|
68 |
+
"loss": 0.0447,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.39,
|
73 |
+
"learning_rate": 4.835092348284961e-05,
|
74 |
+
"loss": 0.0597,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.43,
|
79 |
+
"learning_rate": 4.7691292875989446e-05,
|
80 |
+
"loss": 0.0194,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.46,
|
85 |
+
"learning_rate": 4.703166226912929e-05,
|
86 |
+
"loss": 0.0308,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.5,
|
91 |
+
"learning_rate": 4.6372031662269136e-05,
|
92 |
+
"loss": 0.0328,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.53,
|
97 |
+
"learning_rate": 4.5712401055408974e-05,
|
98 |
+
"loss": 0.0415,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.57,
|
103 |
+
"learning_rate": 4.505277044854881e-05,
|
104 |
+
"loss": 0.0075,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.6,
|
109 |
+
"learning_rate": 4.439313984168866e-05,
|
110 |
+
"loss": 0.0358,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.64,
|
115 |
+
"learning_rate": 4.3733509234828496e-05,
|
116 |
+
"loss": 0.0684,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.68,
|
121 |
+
"learning_rate": 4.307387862796834e-05,
|
122 |
+
"loss": 0.0382,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.71,
|
127 |
+
"learning_rate": 4.2414248021108186e-05,
|
128 |
+
"loss": 0.0252,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.75,
|
133 |
+
"learning_rate": 4.1754617414248024e-05,
|
134 |
+
"loss": 0.0356,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.78,
|
139 |
+
"learning_rate": 4.109498680738786e-05,
|
140 |
+
"loss": 0.0214,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.82,
|
145 |
+
"learning_rate": 4.043535620052771e-05,
|
146 |
+
"loss": 0.0137,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.85,
|
151 |
+
"learning_rate": 3.9775725593667545e-05,
|
152 |
+
"loss": 0.091,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.89,
|
157 |
+
"learning_rate": 3.911609498680739e-05,
|
158 |
+
"loss": 0.0103,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.92,
|
163 |
+
"learning_rate": 3.8456464379947235e-05,
|
164 |
+
"loss": 0.0418,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.96,
|
169 |
+
"learning_rate": 3.779683377308707e-05,
|
170 |
+
"loss": 0.0089,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 1.0,
|
175 |
+
"learning_rate": 3.713720316622691e-05,
|
176 |
+
"loss": 0.0347,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.0,
|
181 |
+
"eval_accuracy": 0.9964804552942939,
|
182 |
+
"eval_loss": 0.013468941673636436,
|
183 |
+
"eval_runtime": 252.3562,
|
184 |
+
"eval_samples_per_second": 52.917,
|
185 |
+
"eval_steps_per_second": 3.309,
|
186 |
+
"step": 281
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.03,
|
190 |
+
"learning_rate": 3.6477572559366756e-05,
|
191 |
+
"loss": 0.0258,
|
192 |
+
"step": 290
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.07,
|
196 |
+
"learning_rate": 3.58179419525066e-05,
|
197 |
+
"loss": 0.0297,
|
198 |
+
"step": 300
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.1,
|
202 |
+
"learning_rate": 3.515831134564644e-05,
|
203 |
+
"loss": 0.029,
|
204 |
+
"step": 310
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.14,
|
208 |
+
"learning_rate": 3.4498680738786285e-05,
|
209 |
+
"loss": 0.0023,
|
210 |
+
"step": 320
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.17,
|
214 |
+
"learning_rate": 3.383905013192612e-05,
|
215 |
+
"loss": 0.013,
|
216 |
+
"step": 330
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.21,
|
220 |
+
"learning_rate": 3.317941952506596e-05,
|
221 |
+
"loss": 0.0203,
|
222 |
+
"step": 340
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 1.24,
|
226 |
+
"learning_rate": 3.2519788918205806e-05,
|
227 |
+
"loss": 0.0286,
|
228 |
+
"step": 350
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.28,
|
232 |
+
"learning_rate": 3.186015831134565e-05,
|
233 |
+
"loss": 0.0236,
|
234 |
+
"step": 360
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.32,
|
238 |
+
"learning_rate": 3.120052770448549e-05,
|
239 |
+
"loss": 0.0126,
|
240 |
+
"step": 370
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.35,
|
244 |
+
"learning_rate": 3.0540897097625334e-05,
|
245 |
+
"loss": 0.02,
|
246 |
+
"step": 380
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 1.39,
|
250 |
+
"learning_rate": 2.9881266490765176e-05,
|
251 |
+
"loss": 0.0215,
|
252 |
+
"step": 390
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.42,
|
256 |
+
"learning_rate": 2.9221635883905014e-05,
|
257 |
+
"loss": 0.0143,
|
258 |
+
"step": 400
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.46,
|
262 |
+
"learning_rate": 2.8562005277044855e-05,
|
263 |
+
"loss": 0.0054,
|
264 |
+
"step": 410
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.49,
|
268 |
+
"learning_rate": 2.79023746701847e-05,
|
269 |
+
"loss": 0.0072,
|
270 |
+
"step": 420
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.53,
|
274 |
+
"learning_rate": 2.724274406332454e-05,
|
275 |
+
"loss": 0.005,
|
276 |
+
"step": 430
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.56,
|
280 |
+
"learning_rate": 2.658311345646438e-05,
|
281 |
+
"loss": 0.0142,
|
282 |
+
"step": 440
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.6,
|
286 |
+
"learning_rate": 2.5923482849604225e-05,
|
287 |
+
"loss": 0.0155,
|
288 |
+
"step": 450
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 1.64,
|
292 |
+
"learning_rate": 2.5263852242744063e-05,
|
293 |
+
"loss": 0.0109,
|
294 |
+
"step": 460
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.67,
|
298 |
+
"learning_rate": 2.4604221635883905e-05,
|
299 |
+
"loss": 0.0073,
|
300 |
+
"step": 470
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 1.71,
|
304 |
+
"learning_rate": 2.3944591029023746e-05,
|
305 |
+
"loss": 0.0126,
|
306 |
+
"step": 480
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 1.74,
|
310 |
+
"learning_rate": 2.328496042216359e-05,
|
311 |
+
"loss": 0.0154,
|
312 |
+
"step": 490
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 1.78,
|
316 |
+
"learning_rate": 2.262532981530343e-05,
|
317 |
+
"loss": 0.0065,
|
318 |
+
"step": 500
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 1.81,
|
322 |
+
"learning_rate": 2.196569920844327e-05,
|
323 |
+
"loss": 0.0275,
|
324 |
+
"step": 510
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.85,
|
328 |
+
"learning_rate": 2.1306068601583116e-05,
|
329 |
+
"loss": 0.0296,
|
330 |
+
"step": 520
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 1.88,
|
334 |
+
"learning_rate": 2.0646437994722954e-05,
|
335 |
+
"loss": 0.0043,
|
336 |
+
"step": 530
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 1.92,
|
340 |
+
"learning_rate": 1.9986807387862796e-05,
|
341 |
+
"loss": 0.0012,
|
342 |
+
"step": 540
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 1.96,
|
346 |
+
"learning_rate": 1.932717678100264e-05,
|
347 |
+
"loss": 0.0044,
|
348 |
+
"step": 550
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 1.99,
|
352 |
+
"learning_rate": 1.866754617414248e-05,
|
353 |
+
"loss": 0.0009,
|
354 |
+
"step": 560
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.0,
|
358 |
+
"eval_accuracy": 0.9942339373970346,
|
359 |
+
"eval_loss": 0.02113017998635769,
|
360 |
+
"eval_runtime": 251.3615,
|
361 |
+
"eval_samples_per_second": 53.127,
|
362 |
+
"eval_steps_per_second": 3.322,
|
363 |
+
"step": 562
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 2.03,
|
367 |
+
"learning_rate": 1.8007915567282324e-05,
|
368 |
+
"loss": 0.002,
|
369 |
+
"step": 570
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 2.06,
|
373 |
+
"learning_rate": 1.7348284960422166e-05,
|
374 |
+
"loss": 0.0154,
|
375 |
+
"step": 580
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.1,
|
379 |
+
"learning_rate": 1.6688654353562007e-05,
|
380 |
+
"loss": 0.0058,
|
381 |
+
"step": 590
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 2.13,
|
385 |
+
"learning_rate": 1.602902374670185e-05,
|
386 |
+
"loss": 0.0066,
|
387 |
+
"step": 600
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 2.17,
|
391 |
+
"learning_rate": 1.536939313984169e-05,
|
392 |
+
"loss": 0.0007,
|
393 |
+
"step": 610
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 2.2,
|
397 |
+
"learning_rate": 1.470976253298153e-05,
|
398 |
+
"loss": 0.0008,
|
399 |
+
"step": 620
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 2.24,
|
403 |
+
"learning_rate": 1.4050131926121373e-05,
|
404 |
+
"loss": 0.0037,
|
405 |
+
"step": 630
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 2.28,
|
409 |
+
"learning_rate": 1.3390501319261215e-05,
|
410 |
+
"loss": 0.0057,
|
411 |
+
"step": 640
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 2.31,
|
415 |
+
"learning_rate": 1.2730870712401055e-05,
|
416 |
+
"loss": 0.0002,
|
417 |
+
"step": 650
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 2.35,
|
421 |
+
"learning_rate": 1.2071240105540896e-05,
|
422 |
+
"loss": 0.0241,
|
423 |
+
"step": 660
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 2.38,
|
427 |
+
"learning_rate": 1.141160949868074e-05,
|
428 |
+
"loss": 0.0007,
|
429 |
+
"step": 670
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 2.42,
|
433 |
+
"learning_rate": 1.0751978891820581e-05,
|
434 |
+
"loss": 0.0058,
|
435 |
+
"step": 680
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 2.45,
|
439 |
+
"learning_rate": 1.0092348284960421e-05,
|
440 |
+
"loss": 0.0003,
|
441 |
+
"step": 690
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 2.49,
|
445 |
+
"learning_rate": 9.432717678100264e-06,
|
446 |
+
"loss": 0.0075,
|
447 |
+
"step": 700
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 2.52,
|
451 |
+
"learning_rate": 8.773087071240106e-06,
|
452 |
+
"loss": 0.001,
|
453 |
+
"step": 710
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 2.56,
|
457 |
+
"learning_rate": 8.113456464379948e-06,
|
458 |
+
"loss": 0.002,
|
459 |
+
"step": 720
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 2.6,
|
463 |
+
"learning_rate": 7.453825857519789e-06,
|
464 |
+
"loss": 0.0125,
|
465 |
+
"step": 730
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 2.63,
|
469 |
+
"learning_rate": 6.794195250659631e-06,
|
470 |
+
"loss": 0.0001,
|
471 |
+
"step": 740
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 2.67,
|
475 |
+
"learning_rate": 6.134564643799472e-06,
|
476 |
+
"loss": 0.0003,
|
477 |
+
"step": 750
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 2.7,
|
481 |
+
"learning_rate": 5.474934036939315e-06,
|
482 |
+
"loss": 0.001,
|
483 |
+
"step": 760
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 2.74,
|
487 |
+
"learning_rate": 4.8153034300791555e-06,
|
488 |
+
"loss": 0.0001,
|
489 |
+
"step": 770
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 2.77,
|
493 |
+
"learning_rate": 4.155672823218998e-06,
|
494 |
+
"loss": 0.0078,
|
495 |
+
"step": 780
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 2.81,
|
499 |
+
"learning_rate": 3.496042216358839e-06,
|
500 |
+
"loss": 0.0031,
|
501 |
+
"step": 790
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 2.84,
|
505 |
+
"learning_rate": 2.836411609498681e-06,
|
506 |
+
"loss": 0.0264,
|
507 |
+
"step": 800
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 2.88,
|
511 |
+
"learning_rate": 2.1767810026385226e-06,
|
512 |
+
"loss": 0.0124,
|
513 |
+
"step": 810
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 2.92,
|
517 |
+
"learning_rate": 1.5171503957783642e-06,
|
518 |
+
"loss": 0.0195,
|
519 |
+
"step": 820
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 2.95,
|
523 |
+
"learning_rate": 8.575197889182058e-07,
|
524 |
+
"loss": 0.005,
|
525 |
+
"step": 830
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 2.99,
|
529 |
+
"learning_rate": 1.9788918205804752e-07,
|
530 |
+
"loss": 0.0241,
|
531 |
+
"step": 840
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 3.0,
|
535 |
+
"eval_accuracy": 0.9975288303130149,
|
536 |
+
"eval_loss": 0.010735484771430492,
|
537 |
+
"eval_runtime": 284.9371,
|
538 |
+
"eval_samples_per_second": 46.866,
|
539 |
+
"eval_steps_per_second": 2.93,
|
540 |
+
"step": 843
|
541 |
+
}
|
542 |
+
],
|
543 |
+
"logging_steps": 10,
|
544 |
+
"max_steps": 843,
|
545 |
+
"num_input_tokens_seen": 0,
|
546 |
+
"num_train_epochs": 3,
|
547 |
+
"save_steps": 500,
|
548 |
+
"total_flos": 4.2268994172435825e+18,
|
549 |
+
"train_batch_size": 16,
|
550 |
+
"trial_name": null,
|
551 |
+
"trial_params": null
|
552 |
+
}
|
research/ai_detector/checkpoint-843/training_args.bin
ADDED
Binary file (4.66 kB). View file
|
|
research/ai_detector_v2/checkpoint-1210/config.json
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "umm-maybe/AI-image-detector",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
18,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 128,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 1024,
|
19 |
+
"id2label": {
|
20 |
+
"0": "ai_gen",
|
21 |
+
"1": "human"
|
22 |
+
},
|
23 |
+
"image_size": 224,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"ai_gen": "0",
|
27 |
+
"human": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"max_length": 128,
|
31 |
+
"mlp_ratio": 4.0,
|
32 |
+
"model_type": "swin",
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_heads": [
|
35 |
+
4,
|
36 |
+
8,
|
37 |
+
16,
|
38 |
+
32
|
39 |
+
],
|
40 |
+
"num_layers": 4,
|
41 |
+
"out_features": [
|
42 |
+
"stage4"
|
43 |
+
],
|
44 |
+
"out_indices": [
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"padding": "max_length",
|
48 |
+
"patch_size": 4,
|
49 |
+
"path_norm": true,
|
50 |
+
"problem_type": "single_label_classification",
|
51 |
+
"qkv_bias": true,
|
52 |
+
"stage_names": [
|
53 |
+
"stem",
|
54 |
+
"stage1",
|
55 |
+
"stage2",
|
56 |
+
"stage3",
|
57 |
+
"stage4"
|
58 |
+
],
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.37.2",
|
61 |
+
"use_absolute_embeddings": false,
|
62 |
+
"window_size": 7
|
63 |
+
}
|
research/ai_detector_v2/checkpoint-1210/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:56c806ccd482578edc7d4bdddd66e768243a958ccef4dacca5a40f90a996175c
|
3 |
+
size 347498816
|
research/ai_detector_v2/checkpoint-1210/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a354c6fadbd0a0cd8312faca439578b35e360eb92978f86758071123c0a0cb9
|
3 |
+
size 694317645
|
research/ai_detector_v2/checkpoint-1210/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
research/ai_detector_v2/checkpoint-1210/rng_state.pth
ADDED
Binary file (14.2 kB). View file
|
|
research/ai_detector_v2/checkpoint-1210/scheduler.pt
ADDED
Binary file (1.06 kB). View file
|
|
research/ai_detector_v2/checkpoint-1210/trainer_state.json
ADDED
@@ -0,0 +1,765 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9980530178223753,
|
3 |
+
"best_model_checkpoint": "ai_detector_v2/checkpoint-1210",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1210,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"learning_rate": 2.747252747252747e-06,
|
14 |
+
"loss": 0.7391,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.03,
|
19 |
+
"learning_rate": 5.494505494505494e-06,
|
20 |
+
"loss": 0.4175,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.05,
|
25 |
+
"learning_rate": 8.241758241758243e-06,
|
26 |
+
"loss": 0.3476,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.07,
|
31 |
+
"learning_rate": 1.0989010989010989e-05,
|
32 |
+
"loss": 0.1961,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.08,
|
37 |
+
"learning_rate": 1.3736263736263738e-05,
|
38 |
+
"loss": 0.1436,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.1,
|
43 |
+
"learning_rate": 1.6483516483516486e-05,
|
44 |
+
"loss": 0.0595,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 1.923076923076923e-05,
|
50 |
+
"loss": 0.0585,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13,
|
55 |
+
"learning_rate": 2.1978021978021977e-05,
|
56 |
+
"loss": 0.0607,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.15,
|
61 |
+
"learning_rate": 2.4725274725274727e-05,
|
62 |
+
"loss": 0.041,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.17,
|
67 |
+
"learning_rate": 2.7472527472527476e-05,
|
68 |
+
"loss": 0.0561,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.18,
|
73 |
+
"learning_rate": 3.021978021978022e-05,
|
74 |
+
"loss": 0.0517,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 3.296703296703297e-05,
|
80 |
+
"loss": 0.0581,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.21,
|
85 |
+
"learning_rate": 3.571428571428572e-05,
|
86 |
+
"loss": 0.0281,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.23,
|
91 |
+
"learning_rate": 3.846153846153846e-05,
|
92 |
+
"loss": 0.0612,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.25,
|
97 |
+
"learning_rate": 4.120879120879121e-05,
|
98 |
+
"loss": 0.0297,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.26,
|
103 |
+
"learning_rate": 4.3956043956043955e-05,
|
104 |
+
"loss": 0.021,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.28,
|
109 |
+
"learning_rate": 4.670329670329671e-05,
|
110 |
+
"loss": 0.019,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.3,
|
115 |
+
"learning_rate": 4.945054945054945e-05,
|
116 |
+
"loss": 0.0233,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.31,
|
121 |
+
"learning_rate": 4.9755052051439074e-05,
|
122 |
+
"loss": 0.0298,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.33,
|
127 |
+
"learning_rate": 4.944886711573791e-05,
|
128 |
+
"loss": 0.0421,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.35,
|
133 |
+
"learning_rate": 4.914268218003674e-05,
|
134 |
+
"loss": 0.0277,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36,
|
139 |
+
"learning_rate": 4.883649724433558e-05,
|
140 |
+
"loss": 0.0361,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.38,
|
145 |
+
"learning_rate": 4.8530312308634416e-05,
|
146 |
+
"loss": 0.0579,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.4,
|
151 |
+
"learning_rate": 4.822412737293325e-05,
|
152 |
+
"loss": 0.0338,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.41,
|
157 |
+
"learning_rate": 4.791794243723209e-05,
|
158 |
+
"loss": 0.0366,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.43,
|
163 |
+
"learning_rate": 4.761175750153093e-05,
|
164 |
+
"loss": 0.0092,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 4.7305572565829766e-05,
|
170 |
+
"loss": 0.063,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.46,
|
175 |
+
"learning_rate": 4.69993876301286e-05,
|
176 |
+
"loss": 0.0527,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.48,
|
181 |
+
"learning_rate": 4.6693202694427433e-05,
|
182 |
+
"loss": 0.023,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.5,
|
187 |
+
"learning_rate": 4.6387017758726274e-05,
|
188 |
+
"loss": 0.0437,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.51,
|
193 |
+
"learning_rate": 4.608083282302511e-05,
|
194 |
+
"loss": 0.0381,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 4.577464788732395e-05,
|
200 |
+
"loss": 0.0288,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.55,
|
205 |
+
"learning_rate": 4.546846295162278e-05,
|
206 |
+
"loss": 0.0385,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.56,
|
211 |
+
"learning_rate": 4.516227801592162e-05,
|
212 |
+
"loss": 0.0442,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.58,
|
217 |
+
"learning_rate": 4.485609308022046e-05,
|
218 |
+
"loss": 0.0128,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6,
|
223 |
+
"learning_rate": 4.454990814451929e-05,
|
224 |
+
"loss": 0.0189,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.4243723208818125e-05,
|
230 |
+
"loss": 0.0219,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.63,
|
235 |
+
"learning_rate": 4.3937538273116966e-05,
|
236 |
+
"loss": 0.0296,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.64,
|
241 |
+
"learning_rate": 4.363135333741581e-05,
|
242 |
+
"loss": 0.058,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.66,
|
247 |
+
"learning_rate": 4.332516840171464e-05,
|
248 |
+
"loss": 0.0317,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.68,
|
253 |
+
"learning_rate": 4.3018983466013475e-05,
|
254 |
+
"loss": 0.0364,
|
255 |
+
"step": 410
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.271279853031231e-05,
|
260 |
+
"loss": 0.0239,
|
261 |
+
"step": 420
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.71,
|
265 |
+
"learning_rate": 4.240661359461115e-05,
|
266 |
+
"loss": 0.0265,
|
267 |
+
"step": 430
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.73,
|
271 |
+
"learning_rate": 4.210042865890998e-05,
|
272 |
+
"loss": 0.0046,
|
273 |
+
"step": 440
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.74,
|
277 |
+
"learning_rate": 4.179424372320882e-05,
|
278 |
+
"loss": 0.0182,
|
279 |
+
"step": 450
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.76,
|
283 |
+
"learning_rate": 4.148805878750766e-05,
|
284 |
+
"loss": 0.0255,
|
285 |
+
"step": 460
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.78,
|
289 |
+
"learning_rate": 4.118187385180649e-05,
|
290 |
+
"loss": 0.0143,
|
291 |
+
"step": 470
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.79,
|
295 |
+
"learning_rate": 4.087568891610533e-05,
|
296 |
+
"loss": 0.0348,
|
297 |
+
"step": 480
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.81,
|
301 |
+
"learning_rate": 4.0569503980404167e-05,
|
302 |
+
"loss": 0.035,
|
303 |
+
"step": 490
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.83,
|
307 |
+
"learning_rate": 4.0263319044703e-05,
|
308 |
+
"loss": 0.0397,
|
309 |
+
"step": 500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.84,
|
313 |
+
"learning_rate": 3.9957134109001834e-05,
|
314 |
+
"loss": 0.0194,
|
315 |
+
"step": 510
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 3.9650949173300675e-05,
|
320 |
+
"loss": 0.0075,
|
321 |
+
"step": 520
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.88,
|
325 |
+
"learning_rate": 3.9344764237599516e-05,
|
326 |
+
"loss": 0.0025,
|
327 |
+
"step": 530
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.89,
|
331 |
+
"learning_rate": 3.903857930189835e-05,
|
332 |
+
"loss": 0.002,
|
333 |
+
"step": 540
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.91,
|
337 |
+
"learning_rate": 3.8732394366197184e-05,
|
338 |
+
"loss": 0.0093,
|
339 |
+
"step": 550
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.93,
|
343 |
+
"learning_rate": 3.8426209430496025e-05,
|
344 |
+
"loss": 0.0027,
|
345 |
+
"step": 560
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 3.812002449479486e-05,
|
350 |
+
"loss": 0.011,
|
351 |
+
"step": 570
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.96,
|
355 |
+
"learning_rate": 3.781383955909369e-05,
|
356 |
+
"loss": 0.0133,
|
357 |
+
"step": 580
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.98,
|
361 |
+
"learning_rate": 3.7507654623392526e-05,
|
362 |
+
"loss": 0.0314,
|
363 |
+
"step": 590
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.99,
|
367 |
+
"learning_rate": 3.720146968769137e-05,
|
368 |
+
"loss": 0.0187,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.0,
|
373 |
+
"eval_accuracy": 0.9973790624531975,
|
374 |
+
"eval_loss": 0.010242484509944916,
|
375 |
+
"eval_runtime": 251.9013,
|
376 |
+
"eval_samples_per_second": 53.013,
|
377 |
+
"eval_steps_per_second": 3.315,
|
378 |
+
"step": 605
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 1.01,
|
382 |
+
"learning_rate": 3.689528475199021e-05,
|
383 |
+
"loss": 0.0335,
|
384 |
+
"step": 610
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 1.02,
|
388 |
+
"learning_rate": 3.658909981628904e-05,
|
389 |
+
"loss": 0.0224,
|
390 |
+
"step": 620
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.04,
|
394 |
+
"learning_rate": 3.6282914880587876e-05,
|
395 |
+
"loss": 0.0192,
|
396 |
+
"step": 630
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"learning_rate": 3.597672994488671e-05,
|
401 |
+
"loss": 0.0164,
|
402 |
+
"step": 640
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 1.07,
|
406 |
+
"learning_rate": 3.567054500918555e-05,
|
407 |
+
"loss": 0.0109,
|
408 |
+
"step": 650
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.09,
|
412 |
+
"learning_rate": 3.5364360073484384e-05,
|
413 |
+
"loss": 0.013,
|
414 |
+
"step": 660
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 1.11,
|
418 |
+
"learning_rate": 3.5058175137783225e-05,
|
419 |
+
"loss": 0.0055,
|
420 |
+
"step": 670
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.12,
|
424 |
+
"learning_rate": 3.475199020208206e-05,
|
425 |
+
"loss": 0.0191,
|
426 |
+
"step": 680
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"learning_rate": 3.44458052663809e-05,
|
431 |
+
"loss": 0.0013,
|
432 |
+
"step": 690
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 1.16,
|
436 |
+
"learning_rate": 3.4139620330679734e-05,
|
437 |
+
"loss": 0.0186,
|
438 |
+
"step": 700
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.17,
|
442 |
+
"learning_rate": 3.383343539497857e-05,
|
443 |
+
"loss": 0.0001,
|
444 |
+
"step": 710
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.19,
|
448 |
+
"learning_rate": 3.35272504592774e-05,
|
449 |
+
"loss": 0.0127,
|
450 |
+
"step": 720
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.21,
|
454 |
+
"learning_rate": 3.322106552357624e-05,
|
455 |
+
"loss": 0.0052,
|
456 |
+
"step": 730
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"learning_rate": 3.291488058787508e-05,
|
461 |
+
"loss": 0.0278,
|
462 |
+
"step": 740
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 1.24,
|
466 |
+
"learning_rate": 3.260869565217392e-05,
|
467 |
+
"loss": 0.0015,
|
468 |
+
"step": 750
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 1.26,
|
472 |
+
"learning_rate": 3.230251071647275e-05,
|
473 |
+
"loss": 0.0026,
|
474 |
+
"step": 760
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 1.27,
|
478 |
+
"learning_rate": 3.1996325780771585e-05,
|
479 |
+
"loss": 0.0243,
|
480 |
+
"step": 770
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.29,
|
484 |
+
"learning_rate": 3.1690140845070426e-05,
|
485 |
+
"loss": 0.0142,
|
486 |
+
"step": 780
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.31,
|
490 |
+
"learning_rate": 3.138395590936926e-05,
|
491 |
+
"loss": 0.007,
|
492 |
+
"step": 790
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.32,
|
496 |
+
"learning_rate": 3.1077770973668093e-05,
|
497 |
+
"loss": 0.0175,
|
498 |
+
"step": 800
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 1.34,
|
502 |
+
"learning_rate": 3.0771586037966934e-05,
|
503 |
+
"loss": 0.0064,
|
504 |
+
"step": 810
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 1.36,
|
508 |
+
"learning_rate": 3.046540110226577e-05,
|
509 |
+
"loss": 0.0168,
|
510 |
+
"step": 820
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.37,
|
514 |
+
"learning_rate": 3.015921616656461e-05,
|
515 |
+
"loss": 0.002,
|
516 |
+
"step": 830
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"learning_rate": 2.9853031230863443e-05,
|
521 |
+
"loss": 0.0129,
|
522 |
+
"step": 840
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 1.4,
|
526 |
+
"learning_rate": 2.9546846295162277e-05,
|
527 |
+
"loss": 0.0134,
|
528 |
+
"step": 850
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.42,
|
532 |
+
"learning_rate": 2.9240661359461114e-05,
|
533 |
+
"loss": 0.0194,
|
534 |
+
"step": 860
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.44,
|
538 |
+
"learning_rate": 2.8934476423759955e-05,
|
539 |
+
"loss": 0.0096,
|
540 |
+
"step": 870
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.45,
|
544 |
+
"learning_rate": 2.862829148805879e-05,
|
545 |
+
"loss": 0.0048,
|
546 |
+
"step": 880
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"learning_rate": 2.8322106552357626e-05,
|
551 |
+
"loss": 0.0003,
|
552 |
+
"step": 890
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 1.49,
|
556 |
+
"learning_rate": 2.801592161665646e-05,
|
557 |
+
"loss": 0.0115,
|
558 |
+
"step": 900
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 1.5,
|
562 |
+
"learning_rate": 2.77097366809553e-05,
|
563 |
+
"loss": 0.0264,
|
564 |
+
"step": 910
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 1.52,
|
568 |
+
"learning_rate": 2.7403551745254135e-05,
|
569 |
+
"loss": 0.0233,
|
570 |
+
"step": 920
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.54,
|
574 |
+
"learning_rate": 2.7097366809552972e-05,
|
575 |
+
"loss": 0.0008,
|
576 |
+
"step": 930
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"learning_rate": 2.6791181873851806e-05,
|
581 |
+
"loss": 0.0103,
|
582 |
+
"step": 940
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 1.57,
|
586 |
+
"learning_rate": 2.6484996938150647e-05,
|
587 |
+
"loss": 0.0356,
|
588 |
+
"step": 950
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 1.59,
|
592 |
+
"learning_rate": 2.617881200244948e-05,
|
593 |
+
"loss": 0.0115,
|
594 |
+
"step": 960
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 1.6,
|
598 |
+
"learning_rate": 2.5872627066748318e-05,
|
599 |
+
"loss": 0.0229,
|
600 |
+
"step": 970
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.62,
|
604 |
+
"learning_rate": 2.5566442131047152e-05,
|
605 |
+
"loss": 0.0163,
|
606 |
+
"step": 980
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.64,
|
610 |
+
"learning_rate": 2.526025719534599e-05,
|
611 |
+
"loss": 0.0052,
|
612 |
+
"step": 990
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.65,
|
616 |
+
"learning_rate": 2.4954072259644827e-05,
|
617 |
+
"loss": 0.0237,
|
618 |
+
"step": 1000
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.67,
|
622 |
+
"learning_rate": 2.4647887323943664e-05,
|
623 |
+
"loss": 0.0121,
|
624 |
+
"step": 1010
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 1.69,
|
628 |
+
"learning_rate": 2.4341702388242498e-05,
|
629 |
+
"loss": 0.0022,
|
630 |
+
"step": 1020
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.7,
|
634 |
+
"learning_rate": 2.4035517452541335e-05,
|
635 |
+
"loss": 0.0105,
|
636 |
+
"step": 1030
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.72,
|
640 |
+
"learning_rate": 2.3729332516840173e-05,
|
641 |
+
"loss": 0.0138,
|
642 |
+
"step": 1040
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 1.74,
|
646 |
+
"learning_rate": 2.342314758113901e-05,
|
647 |
+
"loss": 0.0019,
|
648 |
+
"step": 1050
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 1.75,
|
652 |
+
"learning_rate": 2.3116962645437844e-05,
|
653 |
+
"loss": 0.0075,
|
654 |
+
"step": 1060
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.77,
|
658 |
+
"learning_rate": 2.2810777709736685e-05,
|
659 |
+
"loss": 0.0103,
|
660 |
+
"step": 1070
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.79,
|
664 |
+
"learning_rate": 2.250459277403552e-05,
|
665 |
+
"loss": 0.0107,
|
666 |
+
"step": 1080
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.8,
|
670 |
+
"learning_rate": 2.2198407838334356e-05,
|
671 |
+
"loss": 0.0018,
|
672 |
+
"step": 1090
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 1.82,
|
676 |
+
"learning_rate": 2.1892222902633193e-05,
|
677 |
+
"loss": 0.0038,
|
678 |
+
"step": 1100
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 1.83,
|
682 |
+
"learning_rate": 2.1586037966932027e-05,
|
683 |
+
"loss": 0.0028,
|
684 |
+
"step": 1110
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 1.85,
|
688 |
+
"learning_rate": 2.1279853031230864e-05,
|
689 |
+
"loss": 0.0095,
|
690 |
+
"step": 1120
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.87,
|
694 |
+
"learning_rate": 2.09736680955297e-05,
|
695 |
+
"loss": 0.0106,
|
696 |
+
"step": 1130
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.88,
|
700 |
+
"learning_rate": 2.066748315982854e-05,
|
701 |
+
"loss": 0.0285,
|
702 |
+
"step": 1140
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.9,
|
706 |
+
"learning_rate": 2.0361298224127373e-05,
|
707 |
+
"loss": 0.017,
|
708 |
+
"step": 1150
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.92,
|
712 |
+
"learning_rate": 2.005511328842621e-05,
|
713 |
+
"loss": 0.0025,
|
714 |
+
"step": 1160
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 1.93,
|
718 |
+
"learning_rate": 1.9748928352725048e-05,
|
719 |
+
"loss": 0.0079,
|
720 |
+
"step": 1170
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.95,
|
724 |
+
"learning_rate": 1.9442743417023885e-05,
|
725 |
+
"loss": 0.0167,
|
726 |
+
"step": 1180
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.97,
|
730 |
+
"learning_rate": 1.913655848132272e-05,
|
731 |
+
"loss": 0.0202,
|
732 |
+
"step": 1190
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.98,
|
736 |
+
"learning_rate": 1.8830373545621556e-05,
|
737 |
+
"loss": 0.0053,
|
738 |
+
"step": 1200
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 2.0,
|
742 |
+
"learning_rate": 1.8524188609920394e-05,
|
743 |
+
"loss": 0.0079,
|
744 |
+
"step": 1210
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.0,
|
748 |
+
"eval_accuracy": 0.9980530178223753,
|
749 |
+
"eval_loss": 0.00832486990839243,
|
750 |
+
"eval_runtime": 254.4173,
|
751 |
+
"eval_samples_per_second": 52.489,
|
752 |
+
"eval_steps_per_second": 3.282,
|
753 |
+
"step": 1210
|
754 |
+
}
|
755 |
+
],
|
756 |
+
"logging_steps": 10,
|
757 |
+
"max_steps": 1815,
|
758 |
+
"num_input_tokens_seen": 0,
|
759 |
+
"num_train_epochs": 3,
|
760 |
+
"save_steps": 500,
|
761 |
+
"total_flos": 6.066296372278518e+18,
|
762 |
+
"train_batch_size": 16,
|
763 |
+
"trial_name": null,
|
764 |
+
"trial_params": null
|
765 |
+
}
|
research/ai_detector_v2/checkpoint-1210/training_args.bin
ADDED
Binary file (4.66 kB). View file
|
|
research/ai_detector_v2/checkpoint-1815/config.json
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "umm-maybe/AI-image-detector",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
18,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 128,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 1024,
|
19 |
+
"id2label": {
|
20 |
+
"0": "ai_gen",
|
21 |
+
"1": "human"
|
22 |
+
},
|
23 |
+
"image_size": 224,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"ai_gen": "0",
|
27 |
+
"human": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"max_length": 128,
|
31 |
+
"mlp_ratio": 4.0,
|
32 |
+
"model_type": "swin",
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_heads": [
|
35 |
+
4,
|
36 |
+
8,
|
37 |
+
16,
|
38 |
+
32
|
39 |
+
],
|
40 |
+
"num_layers": 4,
|
41 |
+
"out_features": [
|
42 |
+
"stage4"
|
43 |
+
],
|
44 |
+
"out_indices": [
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"padding": "max_length",
|
48 |
+
"patch_size": 4,
|
49 |
+
"path_norm": true,
|
50 |
+
"problem_type": "single_label_classification",
|
51 |
+
"qkv_bias": true,
|
52 |
+
"stage_names": [
|
53 |
+
"stem",
|
54 |
+
"stage1",
|
55 |
+
"stage2",
|
56 |
+
"stage3",
|
57 |
+
"stage4"
|
58 |
+
],
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.37.2",
|
61 |
+
"use_absolute_embeddings": false,
|
62 |
+
"window_size": 7
|
63 |
+
}
|
research/ai_detector_v2/checkpoint-1815/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a9cfc3eefb0ba85fbd001d0b0e6dad70c75cae6afb2f34440f8d0916c58ba262
|
3 |
+
size 347498816
|
research/ai_detector_v2/checkpoint-1815/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fe1835eb1c6220260837f7b7b350aabef912d71c9ca332eb1b4ae0481d592f5f
|
3 |
+
size 694317645
|
research/ai_detector_v2/checkpoint-1815/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
research/ai_detector_v2/checkpoint-1815/rng_state.pth
ADDED
Binary file (14.2 kB). View file
|
|
research/ai_detector_v2/checkpoint-1815/scheduler.pt
ADDED
Binary file (1.06 kB). View file
|
|
research/ai_detector_v2/checkpoint-1815/trainer_state.json
ADDED
@@ -0,0 +1,1134 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9982776696121013,
|
3 |
+
"best_model_checkpoint": "ai_detector_v2/checkpoint-1815",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1815,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"learning_rate": 2.747252747252747e-06,
|
14 |
+
"loss": 0.7391,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.03,
|
19 |
+
"learning_rate": 5.494505494505494e-06,
|
20 |
+
"loss": 0.4175,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.05,
|
25 |
+
"learning_rate": 8.241758241758243e-06,
|
26 |
+
"loss": 0.3476,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.07,
|
31 |
+
"learning_rate": 1.0989010989010989e-05,
|
32 |
+
"loss": 0.1961,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.08,
|
37 |
+
"learning_rate": 1.3736263736263738e-05,
|
38 |
+
"loss": 0.1436,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.1,
|
43 |
+
"learning_rate": 1.6483516483516486e-05,
|
44 |
+
"loss": 0.0595,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 1.923076923076923e-05,
|
50 |
+
"loss": 0.0585,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13,
|
55 |
+
"learning_rate": 2.1978021978021977e-05,
|
56 |
+
"loss": 0.0607,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.15,
|
61 |
+
"learning_rate": 2.4725274725274727e-05,
|
62 |
+
"loss": 0.041,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.17,
|
67 |
+
"learning_rate": 2.7472527472527476e-05,
|
68 |
+
"loss": 0.0561,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.18,
|
73 |
+
"learning_rate": 3.021978021978022e-05,
|
74 |
+
"loss": 0.0517,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 3.296703296703297e-05,
|
80 |
+
"loss": 0.0581,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.21,
|
85 |
+
"learning_rate": 3.571428571428572e-05,
|
86 |
+
"loss": 0.0281,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.23,
|
91 |
+
"learning_rate": 3.846153846153846e-05,
|
92 |
+
"loss": 0.0612,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.25,
|
97 |
+
"learning_rate": 4.120879120879121e-05,
|
98 |
+
"loss": 0.0297,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.26,
|
103 |
+
"learning_rate": 4.3956043956043955e-05,
|
104 |
+
"loss": 0.021,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.28,
|
109 |
+
"learning_rate": 4.670329670329671e-05,
|
110 |
+
"loss": 0.019,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.3,
|
115 |
+
"learning_rate": 4.945054945054945e-05,
|
116 |
+
"loss": 0.0233,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.31,
|
121 |
+
"learning_rate": 4.9755052051439074e-05,
|
122 |
+
"loss": 0.0298,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.33,
|
127 |
+
"learning_rate": 4.944886711573791e-05,
|
128 |
+
"loss": 0.0421,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.35,
|
133 |
+
"learning_rate": 4.914268218003674e-05,
|
134 |
+
"loss": 0.0277,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36,
|
139 |
+
"learning_rate": 4.883649724433558e-05,
|
140 |
+
"loss": 0.0361,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.38,
|
145 |
+
"learning_rate": 4.8530312308634416e-05,
|
146 |
+
"loss": 0.0579,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.4,
|
151 |
+
"learning_rate": 4.822412737293325e-05,
|
152 |
+
"loss": 0.0338,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.41,
|
157 |
+
"learning_rate": 4.791794243723209e-05,
|
158 |
+
"loss": 0.0366,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.43,
|
163 |
+
"learning_rate": 4.761175750153093e-05,
|
164 |
+
"loss": 0.0092,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 4.7305572565829766e-05,
|
170 |
+
"loss": 0.063,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.46,
|
175 |
+
"learning_rate": 4.69993876301286e-05,
|
176 |
+
"loss": 0.0527,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.48,
|
181 |
+
"learning_rate": 4.6693202694427433e-05,
|
182 |
+
"loss": 0.023,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.5,
|
187 |
+
"learning_rate": 4.6387017758726274e-05,
|
188 |
+
"loss": 0.0437,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.51,
|
193 |
+
"learning_rate": 4.608083282302511e-05,
|
194 |
+
"loss": 0.0381,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 4.577464788732395e-05,
|
200 |
+
"loss": 0.0288,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.55,
|
205 |
+
"learning_rate": 4.546846295162278e-05,
|
206 |
+
"loss": 0.0385,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.56,
|
211 |
+
"learning_rate": 4.516227801592162e-05,
|
212 |
+
"loss": 0.0442,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.58,
|
217 |
+
"learning_rate": 4.485609308022046e-05,
|
218 |
+
"loss": 0.0128,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6,
|
223 |
+
"learning_rate": 4.454990814451929e-05,
|
224 |
+
"loss": 0.0189,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.4243723208818125e-05,
|
230 |
+
"loss": 0.0219,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.63,
|
235 |
+
"learning_rate": 4.3937538273116966e-05,
|
236 |
+
"loss": 0.0296,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.64,
|
241 |
+
"learning_rate": 4.363135333741581e-05,
|
242 |
+
"loss": 0.058,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.66,
|
247 |
+
"learning_rate": 4.332516840171464e-05,
|
248 |
+
"loss": 0.0317,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.68,
|
253 |
+
"learning_rate": 4.3018983466013475e-05,
|
254 |
+
"loss": 0.0364,
|
255 |
+
"step": 410
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.271279853031231e-05,
|
260 |
+
"loss": 0.0239,
|
261 |
+
"step": 420
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.71,
|
265 |
+
"learning_rate": 4.240661359461115e-05,
|
266 |
+
"loss": 0.0265,
|
267 |
+
"step": 430
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.73,
|
271 |
+
"learning_rate": 4.210042865890998e-05,
|
272 |
+
"loss": 0.0046,
|
273 |
+
"step": 440
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.74,
|
277 |
+
"learning_rate": 4.179424372320882e-05,
|
278 |
+
"loss": 0.0182,
|
279 |
+
"step": 450
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.76,
|
283 |
+
"learning_rate": 4.148805878750766e-05,
|
284 |
+
"loss": 0.0255,
|
285 |
+
"step": 460
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.78,
|
289 |
+
"learning_rate": 4.118187385180649e-05,
|
290 |
+
"loss": 0.0143,
|
291 |
+
"step": 470
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.79,
|
295 |
+
"learning_rate": 4.087568891610533e-05,
|
296 |
+
"loss": 0.0348,
|
297 |
+
"step": 480
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.81,
|
301 |
+
"learning_rate": 4.0569503980404167e-05,
|
302 |
+
"loss": 0.035,
|
303 |
+
"step": 490
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.83,
|
307 |
+
"learning_rate": 4.0263319044703e-05,
|
308 |
+
"loss": 0.0397,
|
309 |
+
"step": 500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.84,
|
313 |
+
"learning_rate": 3.9957134109001834e-05,
|
314 |
+
"loss": 0.0194,
|
315 |
+
"step": 510
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 3.9650949173300675e-05,
|
320 |
+
"loss": 0.0075,
|
321 |
+
"step": 520
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.88,
|
325 |
+
"learning_rate": 3.9344764237599516e-05,
|
326 |
+
"loss": 0.0025,
|
327 |
+
"step": 530
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.89,
|
331 |
+
"learning_rate": 3.903857930189835e-05,
|
332 |
+
"loss": 0.002,
|
333 |
+
"step": 540
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.91,
|
337 |
+
"learning_rate": 3.8732394366197184e-05,
|
338 |
+
"loss": 0.0093,
|
339 |
+
"step": 550
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.93,
|
343 |
+
"learning_rate": 3.8426209430496025e-05,
|
344 |
+
"loss": 0.0027,
|
345 |
+
"step": 560
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 3.812002449479486e-05,
|
350 |
+
"loss": 0.011,
|
351 |
+
"step": 570
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.96,
|
355 |
+
"learning_rate": 3.781383955909369e-05,
|
356 |
+
"loss": 0.0133,
|
357 |
+
"step": 580
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.98,
|
361 |
+
"learning_rate": 3.7507654623392526e-05,
|
362 |
+
"loss": 0.0314,
|
363 |
+
"step": 590
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.99,
|
367 |
+
"learning_rate": 3.720146968769137e-05,
|
368 |
+
"loss": 0.0187,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.0,
|
373 |
+
"eval_accuracy": 0.9973790624531975,
|
374 |
+
"eval_loss": 0.010242484509944916,
|
375 |
+
"eval_runtime": 251.9013,
|
376 |
+
"eval_samples_per_second": 53.013,
|
377 |
+
"eval_steps_per_second": 3.315,
|
378 |
+
"step": 605
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 1.01,
|
382 |
+
"learning_rate": 3.689528475199021e-05,
|
383 |
+
"loss": 0.0335,
|
384 |
+
"step": 610
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 1.02,
|
388 |
+
"learning_rate": 3.658909981628904e-05,
|
389 |
+
"loss": 0.0224,
|
390 |
+
"step": 620
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.04,
|
394 |
+
"learning_rate": 3.6282914880587876e-05,
|
395 |
+
"loss": 0.0192,
|
396 |
+
"step": 630
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"learning_rate": 3.597672994488671e-05,
|
401 |
+
"loss": 0.0164,
|
402 |
+
"step": 640
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 1.07,
|
406 |
+
"learning_rate": 3.567054500918555e-05,
|
407 |
+
"loss": 0.0109,
|
408 |
+
"step": 650
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.09,
|
412 |
+
"learning_rate": 3.5364360073484384e-05,
|
413 |
+
"loss": 0.013,
|
414 |
+
"step": 660
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 1.11,
|
418 |
+
"learning_rate": 3.5058175137783225e-05,
|
419 |
+
"loss": 0.0055,
|
420 |
+
"step": 670
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.12,
|
424 |
+
"learning_rate": 3.475199020208206e-05,
|
425 |
+
"loss": 0.0191,
|
426 |
+
"step": 680
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"learning_rate": 3.44458052663809e-05,
|
431 |
+
"loss": 0.0013,
|
432 |
+
"step": 690
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 1.16,
|
436 |
+
"learning_rate": 3.4139620330679734e-05,
|
437 |
+
"loss": 0.0186,
|
438 |
+
"step": 700
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.17,
|
442 |
+
"learning_rate": 3.383343539497857e-05,
|
443 |
+
"loss": 0.0001,
|
444 |
+
"step": 710
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.19,
|
448 |
+
"learning_rate": 3.35272504592774e-05,
|
449 |
+
"loss": 0.0127,
|
450 |
+
"step": 720
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.21,
|
454 |
+
"learning_rate": 3.322106552357624e-05,
|
455 |
+
"loss": 0.0052,
|
456 |
+
"step": 730
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"learning_rate": 3.291488058787508e-05,
|
461 |
+
"loss": 0.0278,
|
462 |
+
"step": 740
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 1.24,
|
466 |
+
"learning_rate": 3.260869565217392e-05,
|
467 |
+
"loss": 0.0015,
|
468 |
+
"step": 750
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 1.26,
|
472 |
+
"learning_rate": 3.230251071647275e-05,
|
473 |
+
"loss": 0.0026,
|
474 |
+
"step": 760
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 1.27,
|
478 |
+
"learning_rate": 3.1996325780771585e-05,
|
479 |
+
"loss": 0.0243,
|
480 |
+
"step": 770
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.29,
|
484 |
+
"learning_rate": 3.1690140845070426e-05,
|
485 |
+
"loss": 0.0142,
|
486 |
+
"step": 780
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.31,
|
490 |
+
"learning_rate": 3.138395590936926e-05,
|
491 |
+
"loss": 0.007,
|
492 |
+
"step": 790
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.32,
|
496 |
+
"learning_rate": 3.1077770973668093e-05,
|
497 |
+
"loss": 0.0175,
|
498 |
+
"step": 800
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 1.34,
|
502 |
+
"learning_rate": 3.0771586037966934e-05,
|
503 |
+
"loss": 0.0064,
|
504 |
+
"step": 810
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 1.36,
|
508 |
+
"learning_rate": 3.046540110226577e-05,
|
509 |
+
"loss": 0.0168,
|
510 |
+
"step": 820
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.37,
|
514 |
+
"learning_rate": 3.015921616656461e-05,
|
515 |
+
"loss": 0.002,
|
516 |
+
"step": 830
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"learning_rate": 2.9853031230863443e-05,
|
521 |
+
"loss": 0.0129,
|
522 |
+
"step": 840
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 1.4,
|
526 |
+
"learning_rate": 2.9546846295162277e-05,
|
527 |
+
"loss": 0.0134,
|
528 |
+
"step": 850
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 1.42,
|
532 |
+
"learning_rate": 2.9240661359461114e-05,
|
533 |
+
"loss": 0.0194,
|
534 |
+
"step": 860
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.44,
|
538 |
+
"learning_rate": 2.8934476423759955e-05,
|
539 |
+
"loss": 0.0096,
|
540 |
+
"step": 870
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.45,
|
544 |
+
"learning_rate": 2.862829148805879e-05,
|
545 |
+
"loss": 0.0048,
|
546 |
+
"step": 880
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"learning_rate": 2.8322106552357626e-05,
|
551 |
+
"loss": 0.0003,
|
552 |
+
"step": 890
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 1.49,
|
556 |
+
"learning_rate": 2.801592161665646e-05,
|
557 |
+
"loss": 0.0115,
|
558 |
+
"step": 900
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 1.5,
|
562 |
+
"learning_rate": 2.77097366809553e-05,
|
563 |
+
"loss": 0.0264,
|
564 |
+
"step": 910
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 1.52,
|
568 |
+
"learning_rate": 2.7403551745254135e-05,
|
569 |
+
"loss": 0.0233,
|
570 |
+
"step": 920
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.54,
|
574 |
+
"learning_rate": 2.7097366809552972e-05,
|
575 |
+
"loss": 0.0008,
|
576 |
+
"step": 930
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"learning_rate": 2.6791181873851806e-05,
|
581 |
+
"loss": 0.0103,
|
582 |
+
"step": 940
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 1.57,
|
586 |
+
"learning_rate": 2.6484996938150647e-05,
|
587 |
+
"loss": 0.0356,
|
588 |
+
"step": 950
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 1.59,
|
592 |
+
"learning_rate": 2.617881200244948e-05,
|
593 |
+
"loss": 0.0115,
|
594 |
+
"step": 960
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 1.6,
|
598 |
+
"learning_rate": 2.5872627066748318e-05,
|
599 |
+
"loss": 0.0229,
|
600 |
+
"step": 970
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.62,
|
604 |
+
"learning_rate": 2.5566442131047152e-05,
|
605 |
+
"loss": 0.0163,
|
606 |
+
"step": 980
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.64,
|
610 |
+
"learning_rate": 2.526025719534599e-05,
|
611 |
+
"loss": 0.0052,
|
612 |
+
"step": 990
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 1.65,
|
616 |
+
"learning_rate": 2.4954072259644827e-05,
|
617 |
+
"loss": 0.0237,
|
618 |
+
"step": 1000
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 1.67,
|
622 |
+
"learning_rate": 2.4647887323943664e-05,
|
623 |
+
"loss": 0.0121,
|
624 |
+
"step": 1010
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 1.69,
|
628 |
+
"learning_rate": 2.4341702388242498e-05,
|
629 |
+
"loss": 0.0022,
|
630 |
+
"step": 1020
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.7,
|
634 |
+
"learning_rate": 2.4035517452541335e-05,
|
635 |
+
"loss": 0.0105,
|
636 |
+
"step": 1030
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.72,
|
640 |
+
"learning_rate": 2.3729332516840173e-05,
|
641 |
+
"loss": 0.0138,
|
642 |
+
"step": 1040
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 1.74,
|
646 |
+
"learning_rate": 2.342314758113901e-05,
|
647 |
+
"loss": 0.0019,
|
648 |
+
"step": 1050
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 1.75,
|
652 |
+
"learning_rate": 2.3116962645437844e-05,
|
653 |
+
"loss": 0.0075,
|
654 |
+
"step": 1060
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 1.77,
|
658 |
+
"learning_rate": 2.2810777709736685e-05,
|
659 |
+
"loss": 0.0103,
|
660 |
+
"step": 1070
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.79,
|
664 |
+
"learning_rate": 2.250459277403552e-05,
|
665 |
+
"loss": 0.0107,
|
666 |
+
"step": 1080
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.8,
|
670 |
+
"learning_rate": 2.2198407838334356e-05,
|
671 |
+
"loss": 0.0018,
|
672 |
+
"step": 1090
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 1.82,
|
676 |
+
"learning_rate": 2.1892222902633193e-05,
|
677 |
+
"loss": 0.0038,
|
678 |
+
"step": 1100
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 1.83,
|
682 |
+
"learning_rate": 2.1586037966932027e-05,
|
683 |
+
"loss": 0.0028,
|
684 |
+
"step": 1110
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 1.85,
|
688 |
+
"learning_rate": 2.1279853031230864e-05,
|
689 |
+
"loss": 0.0095,
|
690 |
+
"step": 1120
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.87,
|
694 |
+
"learning_rate": 2.09736680955297e-05,
|
695 |
+
"loss": 0.0106,
|
696 |
+
"step": 1130
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.88,
|
700 |
+
"learning_rate": 2.066748315982854e-05,
|
701 |
+
"loss": 0.0285,
|
702 |
+
"step": 1140
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 1.9,
|
706 |
+
"learning_rate": 2.0361298224127373e-05,
|
707 |
+
"loss": 0.017,
|
708 |
+
"step": 1150
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.92,
|
712 |
+
"learning_rate": 2.005511328842621e-05,
|
713 |
+
"loss": 0.0025,
|
714 |
+
"step": 1160
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 1.93,
|
718 |
+
"learning_rate": 1.9748928352725048e-05,
|
719 |
+
"loss": 0.0079,
|
720 |
+
"step": 1170
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.95,
|
724 |
+
"learning_rate": 1.9442743417023885e-05,
|
725 |
+
"loss": 0.0167,
|
726 |
+
"step": 1180
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.97,
|
730 |
+
"learning_rate": 1.913655848132272e-05,
|
731 |
+
"loss": 0.0202,
|
732 |
+
"step": 1190
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 1.98,
|
736 |
+
"learning_rate": 1.8830373545621556e-05,
|
737 |
+
"loss": 0.0053,
|
738 |
+
"step": 1200
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 2.0,
|
742 |
+
"learning_rate": 1.8524188609920394e-05,
|
743 |
+
"loss": 0.0079,
|
744 |
+
"step": 1210
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.0,
|
748 |
+
"eval_accuracy": 0.9980530178223753,
|
749 |
+
"eval_loss": 0.00832486990839243,
|
750 |
+
"eval_runtime": 254.4173,
|
751 |
+
"eval_samples_per_second": 52.489,
|
752 |
+
"eval_steps_per_second": 3.282,
|
753 |
+
"step": 1210
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 2.02,
|
757 |
+
"learning_rate": 1.821800367421923e-05,
|
758 |
+
"loss": 0.0127,
|
759 |
+
"step": 1220
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 2.03,
|
763 |
+
"learning_rate": 1.7911818738518065e-05,
|
764 |
+
"loss": 0.0273,
|
765 |
+
"step": 1230
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.05,
|
769 |
+
"learning_rate": 1.7605633802816902e-05,
|
770 |
+
"loss": 0.0085,
|
771 |
+
"step": 1240
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.07,
|
775 |
+
"learning_rate": 1.729944886711574e-05,
|
776 |
+
"loss": 0.0045,
|
777 |
+
"step": 1250
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 2.08,
|
781 |
+
"learning_rate": 1.6993263931414574e-05,
|
782 |
+
"loss": 0.0048,
|
783 |
+
"step": 1260
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 2.1,
|
787 |
+
"learning_rate": 1.668707899571341e-05,
|
788 |
+
"loss": 0.0016,
|
789 |
+
"step": 1270
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 2.12,
|
793 |
+
"learning_rate": 1.6380894060012248e-05,
|
794 |
+
"loss": 0.0012,
|
795 |
+
"step": 1280
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 2.13,
|
799 |
+
"learning_rate": 1.6074709124311086e-05,
|
800 |
+
"loss": 0.0065,
|
801 |
+
"step": 1290
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 2.15,
|
805 |
+
"learning_rate": 1.576852418860992e-05,
|
806 |
+
"loss": 0.005,
|
807 |
+
"step": 1300
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 2.17,
|
811 |
+
"learning_rate": 1.5462339252908757e-05,
|
812 |
+
"loss": 0.0421,
|
813 |
+
"step": 1310
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 2.18,
|
817 |
+
"learning_rate": 1.5156154317207594e-05,
|
818 |
+
"loss": 0.0077,
|
819 |
+
"step": 1320
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 2.2,
|
823 |
+
"learning_rate": 1.4849969381506432e-05,
|
824 |
+
"loss": 0.0012,
|
825 |
+
"step": 1330
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 2.21,
|
829 |
+
"learning_rate": 1.4543784445805267e-05,
|
830 |
+
"loss": 0.0091,
|
831 |
+
"step": 1340
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 2.23,
|
835 |
+
"learning_rate": 1.4237599510104105e-05,
|
836 |
+
"loss": 0.0091,
|
837 |
+
"step": 1350
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 2.25,
|
841 |
+
"learning_rate": 1.393141457440294e-05,
|
842 |
+
"loss": 0.0256,
|
843 |
+
"step": 1360
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 2.26,
|
847 |
+
"learning_rate": 1.3625229638701776e-05,
|
848 |
+
"loss": 0.0114,
|
849 |
+
"step": 1370
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.28,
|
853 |
+
"learning_rate": 1.3319044703000613e-05,
|
854 |
+
"loss": 0.0059,
|
855 |
+
"step": 1380
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 2.3,
|
859 |
+
"learning_rate": 1.3012859767299449e-05,
|
860 |
+
"loss": 0.0012,
|
861 |
+
"step": 1390
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 2.31,
|
865 |
+
"learning_rate": 1.2706674831598286e-05,
|
866 |
+
"loss": 0.0031,
|
867 |
+
"step": 1400
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 2.33,
|
871 |
+
"learning_rate": 1.2400489895897123e-05,
|
872 |
+
"loss": 0.0005,
|
873 |
+
"step": 1410
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 2.35,
|
877 |
+
"learning_rate": 1.2094304960195959e-05,
|
878 |
+
"loss": 0.0013,
|
879 |
+
"step": 1420
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 2.36,
|
883 |
+
"learning_rate": 1.1788120024494795e-05,
|
884 |
+
"loss": 0.0006,
|
885 |
+
"step": 1430
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 2.38,
|
889 |
+
"learning_rate": 1.1481935088793632e-05,
|
890 |
+
"loss": 0.011,
|
891 |
+
"step": 1440
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4,
|
895 |
+
"learning_rate": 1.1175750153092468e-05,
|
896 |
+
"loss": 0.0173,
|
897 |
+
"step": 1450
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 2.41,
|
901 |
+
"learning_rate": 1.0869565217391305e-05,
|
902 |
+
"loss": 0.0077,
|
903 |
+
"step": 1460
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 2.43,
|
907 |
+
"learning_rate": 1.056338028169014e-05,
|
908 |
+
"loss": 0.0007,
|
909 |
+
"step": 1470
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 2.45,
|
913 |
+
"learning_rate": 1.0257195345988978e-05,
|
914 |
+
"loss": 0.0077,
|
915 |
+
"step": 1480
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 2.46,
|
919 |
+
"learning_rate": 9.951010410287814e-06,
|
920 |
+
"loss": 0.0093,
|
921 |
+
"step": 1490
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 2.48,
|
925 |
+
"learning_rate": 9.644825474586651e-06,
|
926 |
+
"loss": 0.01,
|
927 |
+
"step": 1500
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 2.5,
|
931 |
+
"learning_rate": 9.338640538885487e-06,
|
932 |
+
"loss": 0.0016,
|
933 |
+
"step": 1510
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 2.51,
|
937 |
+
"learning_rate": 9.032455603184324e-06,
|
938 |
+
"loss": 0.0001,
|
939 |
+
"step": 1520
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 2.53,
|
943 |
+
"learning_rate": 8.726270667483161e-06,
|
944 |
+
"loss": 0.0068,
|
945 |
+
"step": 1530
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 2.55,
|
949 |
+
"learning_rate": 8.420085731781997e-06,
|
950 |
+
"loss": 0.0007,
|
951 |
+
"step": 1540
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 2.56,
|
955 |
+
"learning_rate": 8.113900796080834e-06,
|
956 |
+
"loss": 0.0093,
|
957 |
+
"step": 1550
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 2.58,
|
961 |
+
"learning_rate": 7.807715860379668e-06,
|
962 |
+
"loss": 0.0004,
|
963 |
+
"step": 1560
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 2.6,
|
967 |
+
"learning_rate": 7.501530924678506e-06,
|
968 |
+
"loss": 0.0051,
|
969 |
+
"step": 1570
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 2.61,
|
973 |
+
"learning_rate": 7.195345988977342e-06,
|
974 |
+
"loss": 0.0046,
|
975 |
+
"step": 1580
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.63,
|
979 |
+
"learning_rate": 6.889161053276179e-06,
|
980 |
+
"loss": 0.0002,
|
981 |
+
"step": 1590
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 2.64,
|
985 |
+
"learning_rate": 6.582976117575015e-06,
|
986 |
+
"loss": 0.0059,
|
987 |
+
"step": 1600
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 2.66,
|
991 |
+
"learning_rate": 6.276791181873852e-06,
|
992 |
+
"loss": 0.0038,
|
993 |
+
"step": 1610
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 2.68,
|
997 |
+
"learning_rate": 5.970606246172689e-06,
|
998 |
+
"loss": 0.0002,
|
999 |
+
"step": 1620
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 2.69,
|
1003 |
+
"learning_rate": 5.664421310471525e-06,
|
1004 |
+
"loss": 0.0003,
|
1005 |
+
"step": 1630
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.71,
|
1009 |
+
"learning_rate": 5.358236374770362e-06,
|
1010 |
+
"loss": 0.0048,
|
1011 |
+
"step": 1640
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 2.73,
|
1015 |
+
"learning_rate": 5.052051439069198e-06,
|
1016 |
+
"loss": 0.001,
|
1017 |
+
"step": 1650
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 2.74,
|
1021 |
+
"learning_rate": 4.745866503368034e-06,
|
1022 |
+
"loss": 0.0006,
|
1023 |
+
"step": 1660
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 2.76,
|
1027 |
+
"learning_rate": 4.4396815676668705e-06,
|
1028 |
+
"loss": 0.012,
|
1029 |
+
"step": 1670
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 2.78,
|
1033 |
+
"learning_rate": 4.133496631965708e-06,
|
1034 |
+
"loss": 0.0002,
|
1035 |
+
"step": 1680
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 2.79,
|
1039 |
+
"learning_rate": 3.827311696264544e-06,
|
1040 |
+
"loss": 0.0001,
|
1041 |
+
"step": 1690
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 2.81,
|
1045 |
+
"learning_rate": 3.521126760563381e-06,
|
1046 |
+
"loss": 0.0026,
|
1047 |
+
"step": 1700
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 2.83,
|
1051 |
+
"learning_rate": 3.2149418248622173e-06,
|
1052 |
+
"loss": 0.0085,
|
1053 |
+
"step": 1710
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 2.84,
|
1057 |
+
"learning_rate": 2.9087568891610534e-06,
|
1058 |
+
"loss": 0.0096,
|
1059 |
+
"step": 1720
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 2.86,
|
1063 |
+
"learning_rate": 2.60257195345989e-06,
|
1064 |
+
"loss": 0.0001,
|
1065 |
+
"step": 1730
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 2.88,
|
1069 |
+
"learning_rate": 2.2963870177587263e-06,
|
1070 |
+
"loss": 0.0076,
|
1071 |
+
"step": 1740
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 2.89,
|
1075 |
+
"learning_rate": 1.990202082057563e-06,
|
1076 |
+
"loss": 0.0002,
|
1077 |
+
"step": 1750
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 2.91,
|
1081 |
+
"learning_rate": 1.6840171463563995e-06,
|
1082 |
+
"loss": 0.0044,
|
1083 |
+
"step": 1760
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 2.93,
|
1087 |
+
"learning_rate": 1.3778322106552358e-06,
|
1088 |
+
"loss": 0.0005,
|
1089 |
+
"step": 1770
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 2.94,
|
1093 |
+
"learning_rate": 1.0716472749540723e-06,
|
1094 |
+
"loss": 0.0001,
|
1095 |
+
"step": 1780
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 2.96,
|
1099 |
+
"learning_rate": 7.654623392529088e-07,
|
1100 |
+
"loss": 0.0024,
|
1101 |
+
"step": 1790
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.98,
|
1105 |
+
"learning_rate": 4.5927740355174527e-07,
|
1106 |
+
"loss": 0.0001,
|
1107 |
+
"step": 1800
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 2.99,
|
1111 |
+
"learning_rate": 1.5309246785058176e-07,
|
1112 |
+
"loss": 0.0002,
|
1113 |
+
"step": 1810
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 3.0,
|
1117 |
+
"eval_accuracy": 0.9982776696121013,
|
1118 |
+
"eval_loss": 0.007270948030054569,
|
1119 |
+
"eval_runtime": 259.3731,
|
1120 |
+
"eval_samples_per_second": 51.486,
|
1121 |
+
"eval_steps_per_second": 3.219,
|
1122 |
+
"step": 1815
|
1123 |
+
}
|
1124 |
+
],
|
1125 |
+
"logging_steps": 10,
|
1126 |
+
"max_steps": 1815,
|
1127 |
+
"num_input_tokens_seen": 0,
|
1128 |
+
"num_train_epochs": 3,
|
1129 |
+
"save_steps": 500,
|
1130 |
+
"total_flos": 9.099444558417777e+18,
|
1131 |
+
"train_batch_size": 16,
|
1132 |
+
"trial_name": null,
|
1133 |
+
"trial_params": null
|
1134 |
+
}
|
research/ai_detector_v2/checkpoint-1815/training_args.bin
ADDED
Binary file (4.66 kB). View file
|
|
research/ai_detector_v2/checkpoint-605/config.json
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "umm-maybe/AI-image-detector",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
2,
|
10 |
+
18,
|
11 |
+
2
|
12 |
+
],
|
13 |
+
"drop_path_rate": 0.1,
|
14 |
+
"embed_dim": 128,
|
15 |
+
"encoder_stride": 32,
|
16 |
+
"hidden_act": "gelu",
|
17 |
+
"hidden_dropout_prob": 0.0,
|
18 |
+
"hidden_size": 1024,
|
19 |
+
"id2label": {
|
20 |
+
"0": "ai_gen",
|
21 |
+
"1": "human"
|
22 |
+
},
|
23 |
+
"image_size": 224,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"label2id": {
|
26 |
+
"ai_gen": "0",
|
27 |
+
"human": "1"
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-05,
|
30 |
+
"max_length": 128,
|
31 |
+
"mlp_ratio": 4.0,
|
32 |
+
"model_type": "swin",
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_heads": [
|
35 |
+
4,
|
36 |
+
8,
|
37 |
+
16,
|
38 |
+
32
|
39 |
+
],
|
40 |
+
"num_layers": 4,
|
41 |
+
"out_features": [
|
42 |
+
"stage4"
|
43 |
+
],
|
44 |
+
"out_indices": [
|
45 |
+
4
|
46 |
+
],
|
47 |
+
"padding": "max_length",
|
48 |
+
"patch_size": 4,
|
49 |
+
"path_norm": true,
|
50 |
+
"problem_type": "single_label_classification",
|
51 |
+
"qkv_bias": true,
|
52 |
+
"stage_names": [
|
53 |
+
"stem",
|
54 |
+
"stage1",
|
55 |
+
"stage2",
|
56 |
+
"stage3",
|
57 |
+
"stage4"
|
58 |
+
],
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.37.2",
|
61 |
+
"use_absolute_embeddings": false,
|
62 |
+
"window_size": 7
|
63 |
+
}
|
research/ai_detector_v2/checkpoint-605/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a29b82064c6e5bf3f5657a83c36e71b62d7a33a333123f90919c243b2285ed89
|
3 |
+
size 347498816
|
research/ai_detector_v2/checkpoint-605/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7926d08708895df2e9db701575d1770ec5a9941783292a0ff61156f4297a9dd8
|
3 |
+
size 694317645
|
research/ai_detector_v2/checkpoint-605/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
research/ai_detector_v2/checkpoint-605/rng_state.pth
ADDED
Binary file (14.2 kB). View file
|
|
research/ai_detector_v2/checkpoint-605/scheduler.pt
ADDED
Binary file (1.06 kB). View file
|
|
research/ai_detector_v2/checkpoint-605/trainer_state.json
ADDED
@@ -0,0 +1,390 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9973790624531975,
|
3 |
+
"best_model_checkpoint": "ai_detector_v2/checkpoint-605",
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 605,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"learning_rate": 2.747252747252747e-06,
|
14 |
+
"loss": 0.7391,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.03,
|
19 |
+
"learning_rate": 5.494505494505494e-06,
|
20 |
+
"loss": 0.4175,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.05,
|
25 |
+
"learning_rate": 8.241758241758243e-06,
|
26 |
+
"loss": 0.3476,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.07,
|
31 |
+
"learning_rate": 1.0989010989010989e-05,
|
32 |
+
"loss": 0.1961,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.08,
|
37 |
+
"learning_rate": 1.3736263736263738e-05,
|
38 |
+
"loss": 0.1436,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.1,
|
43 |
+
"learning_rate": 1.6483516483516486e-05,
|
44 |
+
"loss": 0.0595,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 1.923076923076923e-05,
|
50 |
+
"loss": 0.0585,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13,
|
55 |
+
"learning_rate": 2.1978021978021977e-05,
|
56 |
+
"loss": 0.0607,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.15,
|
61 |
+
"learning_rate": 2.4725274725274727e-05,
|
62 |
+
"loss": 0.041,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.17,
|
67 |
+
"learning_rate": 2.7472527472527476e-05,
|
68 |
+
"loss": 0.0561,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.18,
|
73 |
+
"learning_rate": 3.021978021978022e-05,
|
74 |
+
"loss": 0.0517,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 3.296703296703297e-05,
|
80 |
+
"loss": 0.0581,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.21,
|
85 |
+
"learning_rate": 3.571428571428572e-05,
|
86 |
+
"loss": 0.0281,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.23,
|
91 |
+
"learning_rate": 3.846153846153846e-05,
|
92 |
+
"loss": 0.0612,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.25,
|
97 |
+
"learning_rate": 4.120879120879121e-05,
|
98 |
+
"loss": 0.0297,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.26,
|
103 |
+
"learning_rate": 4.3956043956043955e-05,
|
104 |
+
"loss": 0.021,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.28,
|
109 |
+
"learning_rate": 4.670329670329671e-05,
|
110 |
+
"loss": 0.019,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.3,
|
115 |
+
"learning_rate": 4.945054945054945e-05,
|
116 |
+
"loss": 0.0233,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.31,
|
121 |
+
"learning_rate": 4.9755052051439074e-05,
|
122 |
+
"loss": 0.0298,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.33,
|
127 |
+
"learning_rate": 4.944886711573791e-05,
|
128 |
+
"loss": 0.0421,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.35,
|
133 |
+
"learning_rate": 4.914268218003674e-05,
|
134 |
+
"loss": 0.0277,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36,
|
139 |
+
"learning_rate": 4.883649724433558e-05,
|
140 |
+
"loss": 0.0361,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.38,
|
145 |
+
"learning_rate": 4.8530312308634416e-05,
|
146 |
+
"loss": 0.0579,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.4,
|
151 |
+
"learning_rate": 4.822412737293325e-05,
|
152 |
+
"loss": 0.0338,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.41,
|
157 |
+
"learning_rate": 4.791794243723209e-05,
|
158 |
+
"loss": 0.0366,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.43,
|
163 |
+
"learning_rate": 4.761175750153093e-05,
|
164 |
+
"loss": 0.0092,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 4.7305572565829766e-05,
|
170 |
+
"loss": 0.063,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.46,
|
175 |
+
"learning_rate": 4.69993876301286e-05,
|
176 |
+
"loss": 0.0527,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.48,
|
181 |
+
"learning_rate": 4.6693202694427433e-05,
|
182 |
+
"loss": 0.023,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.5,
|
187 |
+
"learning_rate": 4.6387017758726274e-05,
|
188 |
+
"loss": 0.0437,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.51,
|
193 |
+
"learning_rate": 4.608083282302511e-05,
|
194 |
+
"loss": 0.0381,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 4.577464788732395e-05,
|
200 |
+
"loss": 0.0288,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.55,
|
205 |
+
"learning_rate": 4.546846295162278e-05,
|
206 |
+
"loss": 0.0385,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.56,
|
211 |
+
"learning_rate": 4.516227801592162e-05,
|
212 |
+
"loss": 0.0442,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.58,
|
217 |
+
"learning_rate": 4.485609308022046e-05,
|
218 |
+
"loss": 0.0128,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.6,
|
223 |
+
"learning_rate": 4.454990814451929e-05,
|
224 |
+
"loss": 0.0189,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.4243723208818125e-05,
|
230 |
+
"loss": 0.0219,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.63,
|
235 |
+
"learning_rate": 4.3937538273116966e-05,
|
236 |
+
"loss": 0.0296,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.64,
|
241 |
+
"learning_rate": 4.363135333741581e-05,
|
242 |
+
"loss": 0.058,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.66,
|
247 |
+
"learning_rate": 4.332516840171464e-05,
|
248 |
+
"loss": 0.0317,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.68,
|
253 |
+
"learning_rate": 4.3018983466013475e-05,
|
254 |
+
"loss": 0.0364,
|
255 |
+
"step": 410
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.271279853031231e-05,
|
260 |
+
"loss": 0.0239,
|
261 |
+
"step": 420
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.71,
|
265 |
+
"learning_rate": 4.240661359461115e-05,
|
266 |
+
"loss": 0.0265,
|
267 |
+
"step": 430
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.73,
|
271 |
+
"learning_rate": 4.210042865890998e-05,
|
272 |
+
"loss": 0.0046,
|
273 |
+
"step": 440
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.74,
|
277 |
+
"learning_rate": 4.179424372320882e-05,
|
278 |
+
"loss": 0.0182,
|
279 |
+
"step": 450
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.76,
|
283 |
+
"learning_rate": 4.148805878750766e-05,
|
284 |
+
"loss": 0.0255,
|
285 |
+
"step": 460
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.78,
|
289 |
+
"learning_rate": 4.118187385180649e-05,
|
290 |
+
"loss": 0.0143,
|
291 |
+
"step": 470
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.79,
|
295 |
+
"learning_rate": 4.087568891610533e-05,
|
296 |
+
"loss": 0.0348,
|
297 |
+
"step": 480
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.81,
|
301 |
+
"learning_rate": 4.0569503980404167e-05,
|
302 |
+
"loss": 0.035,
|
303 |
+
"step": 490
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.83,
|
307 |
+
"learning_rate": 4.0263319044703e-05,
|
308 |
+
"loss": 0.0397,
|
309 |
+
"step": 500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.84,
|
313 |
+
"learning_rate": 3.9957134109001834e-05,
|
314 |
+
"loss": 0.0194,
|
315 |
+
"step": 510
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 3.9650949173300675e-05,
|
320 |
+
"loss": 0.0075,
|
321 |
+
"step": 520
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.88,
|
325 |
+
"learning_rate": 3.9344764237599516e-05,
|
326 |
+
"loss": 0.0025,
|
327 |
+
"step": 530
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.89,
|
331 |
+
"learning_rate": 3.903857930189835e-05,
|
332 |
+
"loss": 0.002,
|
333 |
+
"step": 540
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.91,
|
337 |
+
"learning_rate": 3.8732394366197184e-05,
|
338 |
+
"loss": 0.0093,
|
339 |
+
"step": 550
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.93,
|
343 |
+
"learning_rate": 3.8426209430496025e-05,
|
344 |
+
"loss": 0.0027,
|
345 |
+
"step": 560
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 3.812002449479486e-05,
|
350 |
+
"loss": 0.011,
|
351 |
+
"step": 570
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.96,
|
355 |
+
"learning_rate": 3.781383955909369e-05,
|
356 |
+
"loss": 0.0133,
|
357 |
+
"step": 580
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.98,
|
361 |
+
"learning_rate": 3.7507654623392526e-05,
|
362 |
+
"loss": 0.0314,
|
363 |
+
"step": 590
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.99,
|
367 |
+
"learning_rate": 3.720146968769137e-05,
|
368 |
+
"loss": 0.0187,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.0,
|
373 |
+
"eval_accuracy": 0.9973790624531975,
|
374 |
+
"eval_loss": 0.010242484509944916,
|
375 |
+
"eval_runtime": 251.9013,
|
376 |
+
"eval_samples_per_second": 53.013,
|
377 |
+
"eval_steps_per_second": 3.315,
|
378 |
+
"step": 605
|
379 |
+
}
|
380 |
+
],
|
381 |
+
"logging_steps": 10,
|
382 |
+
"max_steps": 1815,
|
383 |
+
"num_input_tokens_seen": 0,
|
384 |
+
"num_train_epochs": 3,
|
385 |
+
"save_steps": 500,
|
386 |
+
"total_flos": 3.033148186139259e+18,
|
387 |
+
"train_batch_size": 16,
|
388 |
+
"trial_name": null,
|
389 |
+
"trial_params": null
|
390 |
+
}
|