pandalori commited on
Commit
19406cc
1 Parent(s): 1cdef4b

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - image-classification
6
+ base_model: google/vit-base-patch16-224
7
+ widget:
8
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
9
+ example_title: Tiger
10
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
11
+ example_title: Teapot
12
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
13
+ example_title: Palace
14
+ ---
15
+
16
+ # Model Trained Using AutoTrain
17
+
18
+ - Problem type: Image Classification
19
+
20
+ ## Validation Metrics
21
+ loss: 0.0158307533711195
22
+
23
+ f1: 0.9961538461538462
24
+
25
+ precision: 0.9940298507462687
26
+
27
+ recall: 0.9982869379014989
28
+
29
+ auc: 0.9994886327395326
30
+
31
+ accuracy: 0.9961579509071505
checkpoint-7029/config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "ViTForImageClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.0,
8
+ "encoder_stride": 16,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.0,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "Cat",
14
+ "1": "Dog"
15
+ },
16
+ "image_size": 224,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "Cat": 0,
21
+ "Dog": 1
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "model_type": "vit",
25
+ "num_attention_heads": 12,
26
+ "num_channels": 3,
27
+ "num_hidden_layers": 12,
28
+ "patch_size": 16,
29
+ "problem_type": "single_label_classification",
30
+ "qkv_bias": true,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.44.2"
33
+ }
checkpoint-7029/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dee3eed218313e8ff29b584802246af13c768a49b4c314f646c4fa450b081f8d
3
+ size 343223968
checkpoint-7029/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6530ffd08ba009a70fae44eaf51e791bb695d95ef4886227a233727009bad46a
3
+ size 686563258
checkpoint-7029/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:191d38bc28e3cef21d465729870c6f5f9e5cd0a4ebcd4b05940fe058bf3fcecd
3
+ size 13990
checkpoint-7029/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf772930a9908c481bf75c081cf19a2311659fefe0f2d5acffeb2329985b9a67
3
+ size 1064
checkpoint-7029/trainer_state.json ADDED
@@ -0,0 +1,2048 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.0158307533711195,
3
+ "best_model_checkpoint": "autotrain-ltphq-1aue6/checkpoint-7029",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 7029,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.010670081092616303,
13
+ "grad_norm": 10.576315879821777,
14
+ "learning_rate": 1.7780938833570414e-06,
15
+ "loss": 0.5983,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.021340162185232606,
20
+ "grad_norm": 6.441564559936523,
21
+ "learning_rate": 3.556187766714083e-06,
22
+ "loss": 0.5878,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.03201024327784891,
27
+ "grad_norm": 5.742478370666504,
28
+ "learning_rate": 5.334281650071124e-06,
29
+ "loss": 0.4551,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.04268032437046521,
34
+ "grad_norm": 3.9501702785491943,
35
+ "learning_rate": 7.112375533428166e-06,
36
+ "loss": 0.3351,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.05335040546308152,
41
+ "grad_norm": 3.156757354736328,
42
+ "learning_rate": 8.890469416785207e-06,
43
+ "loss": 0.2165,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 0.06402048655569782,
48
+ "grad_norm": 1.531072735786438,
49
+ "learning_rate": 1.0668563300142247e-05,
50
+ "loss": 0.1089,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.07469056764831412,
55
+ "grad_norm": 0.6878227591514587,
56
+ "learning_rate": 1.244665718349929e-05,
57
+ "loss": 0.1164,
58
+ "step": 175
59
+ },
60
+ {
61
+ "epoch": 0.08536064874093043,
62
+ "grad_norm": 0.3712044358253479,
63
+ "learning_rate": 1.4224751066856332e-05,
64
+ "loss": 0.0563,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.09603072983354674,
69
+ "grad_norm": 5.825244903564453,
70
+ "learning_rate": 1.6002844950213374e-05,
71
+ "loss": 0.0577,
72
+ "step": 225
73
+ },
74
+ {
75
+ "epoch": 0.10670081092616304,
76
+ "grad_norm": 7.699280261993408,
77
+ "learning_rate": 1.7780938833570414e-05,
78
+ "loss": 0.0995,
79
+ "step": 250
80
+ },
81
+ {
82
+ "epoch": 0.11737089201877934,
83
+ "grad_norm": 1.6869832277297974,
84
+ "learning_rate": 1.9559032716927454e-05,
85
+ "loss": 0.0223,
86
+ "step": 275
87
+ },
88
+ {
89
+ "epoch": 0.12804097311139565,
90
+ "grad_norm": 0.5479092597961426,
91
+ "learning_rate": 2.1337126600284495e-05,
92
+ "loss": 0.0396,
93
+ "step": 300
94
+ },
95
+ {
96
+ "epoch": 0.13871105420401195,
97
+ "grad_norm": 17.6248836517334,
98
+ "learning_rate": 2.3115220483641535e-05,
99
+ "loss": 0.0629,
100
+ "step": 325
101
+ },
102
+ {
103
+ "epoch": 0.14938113529662825,
104
+ "grad_norm": 1.2864736318588257,
105
+ "learning_rate": 2.489331436699858e-05,
106
+ "loss": 0.0815,
107
+ "step": 350
108
+ },
109
+ {
110
+ "epoch": 0.16005121638924455,
111
+ "grad_norm": 14.023919105529785,
112
+ "learning_rate": 2.6671408250355616e-05,
113
+ "loss": 0.1471,
114
+ "step": 375
115
+ },
116
+ {
117
+ "epoch": 0.17072129748186085,
118
+ "grad_norm": 0.7266956567764282,
119
+ "learning_rate": 2.8449502133712663e-05,
120
+ "loss": 0.1421,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.18139137857447715,
125
+ "grad_norm": 1.591202735900879,
126
+ "learning_rate": 3.0227596017069704e-05,
127
+ "loss": 0.0837,
128
+ "step": 425
129
+ },
130
+ {
131
+ "epoch": 0.19206145966709348,
132
+ "grad_norm": 0.03316282480955124,
133
+ "learning_rate": 3.200568990042675e-05,
134
+ "loss": 0.0419,
135
+ "step": 450
136
+ },
137
+ {
138
+ "epoch": 0.20273154075970978,
139
+ "grad_norm": 0.0206840131431818,
140
+ "learning_rate": 3.3783783783783784e-05,
141
+ "loss": 0.0621,
142
+ "step": 475
143
+ },
144
+ {
145
+ "epoch": 0.21340162185232608,
146
+ "grad_norm": 0.017792997881770134,
147
+ "learning_rate": 3.556187766714083e-05,
148
+ "loss": 0.1231,
149
+ "step": 500
150
+ },
151
+ {
152
+ "epoch": 0.22407170294494239,
153
+ "grad_norm": 5.664891242980957,
154
+ "learning_rate": 3.7339971550497865e-05,
155
+ "loss": 0.1255,
156
+ "step": 525
157
+ },
158
+ {
159
+ "epoch": 0.2347417840375587,
160
+ "grad_norm": 0.08337491750717163,
161
+ "learning_rate": 3.911806543385491e-05,
162
+ "loss": 0.1177,
163
+ "step": 550
164
+ },
165
+ {
166
+ "epoch": 0.245411865130175,
167
+ "grad_norm": 11.999979019165039,
168
+ "learning_rate": 4.089615931721195e-05,
169
+ "loss": 0.0796,
170
+ "step": 575
171
+ },
172
+ {
173
+ "epoch": 0.2560819462227913,
174
+ "grad_norm": 0.007278278470039368,
175
+ "learning_rate": 4.267425320056899e-05,
176
+ "loss": 0.0677,
177
+ "step": 600
178
+ },
179
+ {
180
+ "epoch": 0.2667520273154076,
181
+ "grad_norm": 16.901777267456055,
182
+ "learning_rate": 4.4452347083926033e-05,
183
+ "loss": 0.2031,
184
+ "step": 625
185
+ },
186
+ {
187
+ "epoch": 0.2774221084080239,
188
+ "grad_norm": 8.973575592041016,
189
+ "learning_rate": 4.623044096728307e-05,
190
+ "loss": 0.0724,
191
+ "step": 650
192
+ },
193
+ {
194
+ "epoch": 0.2880921895006402,
195
+ "grad_norm": 0.5288171768188477,
196
+ "learning_rate": 4.8008534850640114e-05,
197
+ "loss": 0.0616,
198
+ "step": 675
199
+ },
200
+ {
201
+ "epoch": 0.2987622705932565,
202
+ "grad_norm": 0.03448805212974548,
203
+ "learning_rate": 4.978662873399716e-05,
204
+ "loss": 0.0951,
205
+ "step": 700
206
+ },
207
+ {
208
+ "epoch": 0.3094323516858728,
209
+ "grad_norm": 37.160011291503906,
210
+ "learning_rate": 4.982611444830857e-05,
211
+ "loss": 0.2065,
212
+ "step": 725
213
+ },
214
+ {
215
+ "epoch": 0.3201024327784891,
216
+ "grad_norm": 0.19236384332180023,
217
+ "learning_rate": 4.9628517230477395e-05,
218
+ "loss": 0.2069,
219
+ "step": 750
220
+ },
221
+ {
222
+ "epoch": 0.3307725138711054,
223
+ "grad_norm": 0.1479603499174118,
224
+ "learning_rate": 4.9430920012646225e-05,
225
+ "loss": 0.1349,
226
+ "step": 775
227
+ },
228
+ {
229
+ "epoch": 0.3414425949637217,
230
+ "grad_norm": 0.3465137779712677,
231
+ "learning_rate": 4.923332279481505e-05,
232
+ "loss": 0.13,
233
+ "step": 800
234
+ },
235
+ {
236
+ "epoch": 0.352112676056338,
237
+ "grad_norm": 0.05050384998321533,
238
+ "learning_rate": 4.903572557698388e-05,
239
+ "loss": 0.137,
240
+ "step": 825
241
+ },
242
+ {
243
+ "epoch": 0.3627827571489543,
244
+ "grad_norm": 0.16721266508102417,
245
+ "learning_rate": 4.883812835915271e-05,
246
+ "loss": 0.1692,
247
+ "step": 850
248
+ },
249
+ {
250
+ "epoch": 0.37345283824157066,
251
+ "grad_norm": 0.015766268596053123,
252
+ "learning_rate": 4.864053114132153e-05,
253
+ "loss": 0.1324,
254
+ "step": 875
255
+ },
256
+ {
257
+ "epoch": 0.38412291933418696,
258
+ "grad_norm": 0.04455697163939476,
259
+ "learning_rate": 4.8442933923490356e-05,
260
+ "loss": 0.1173,
261
+ "step": 900
262
+ },
263
+ {
264
+ "epoch": 0.39479300042680326,
265
+ "grad_norm": 0.045407216995954514,
266
+ "learning_rate": 4.8245336705659186e-05,
267
+ "loss": 0.1282,
268
+ "step": 925
269
+ },
270
+ {
271
+ "epoch": 0.40546308151941957,
272
+ "grad_norm": 0.014451881870627403,
273
+ "learning_rate": 4.804773948782802e-05,
274
+ "loss": 0.156,
275
+ "step": 950
276
+ },
277
+ {
278
+ "epoch": 0.41613316261203587,
279
+ "grad_norm": 10.56628131866455,
280
+ "learning_rate": 4.785014226999684e-05,
281
+ "loss": 0.1354,
282
+ "step": 975
283
+ },
284
+ {
285
+ "epoch": 0.42680324370465217,
286
+ "grad_norm": 9.949240684509277,
287
+ "learning_rate": 4.765254505216567e-05,
288
+ "loss": 0.1674,
289
+ "step": 1000
290
+ },
291
+ {
292
+ "epoch": 0.43747332479726847,
293
+ "grad_norm": 0.8956235647201538,
294
+ "learning_rate": 4.7454947834334494e-05,
295
+ "loss": 0.0663,
296
+ "step": 1025
297
+ },
298
+ {
299
+ "epoch": 0.44814340588988477,
300
+ "grad_norm": 11.43295669555664,
301
+ "learning_rate": 4.725735061650332e-05,
302
+ "loss": 0.106,
303
+ "step": 1050
304
+ },
305
+ {
306
+ "epoch": 0.4588134869825011,
307
+ "grad_norm": 0.10002151876688004,
308
+ "learning_rate": 4.7059753398672155e-05,
309
+ "loss": 0.0652,
310
+ "step": 1075
311
+ },
312
+ {
313
+ "epoch": 0.4694835680751174,
314
+ "grad_norm": 0.018603714182972908,
315
+ "learning_rate": 4.686215618084098e-05,
316
+ "loss": 0.0544,
317
+ "step": 1100
318
+ },
319
+ {
320
+ "epoch": 0.4801536491677337,
321
+ "grad_norm": 0.002447799313813448,
322
+ "learning_rate": 4.66645589630098e-05,
323
+ "loss": 0.0874,
324
+ "step": 1125
325
+ },
326
+ {
327
+ "epoch": 0.49082373026035,
328
+ "grad_norm": 0.029736997559666634,
329
+ "learning_rate": 4.6466961745178625e-05,
330
+ "loss": 0.1893,
331
+ "step": 1150
332
+ },
333
+ {
334
+ "epoch": 0.5014938113529663,
335
+ "grad_norm": 10.314343452453613,
336
+ "learning_rate": 4.6269364527347456e-05,
337
+ "loss": 0.1898,
338
+ "step": 1175
339
+ },
340
+ {
341
+ "epoch": 0.5121638924455826,
342
+ "grad_norm": 0.6686179041862488,
343
+ "learning_rate": 4.6071767309516286e-05,
344
+ "loss": 0.0865,
345
+ "step": 1200
346
+ },
347
+ {
348
+ "epoch": 0.5228339735381989,
349
+ "grad_norm": 1.8905715942382812,
350
+ "learning_rate": 4.587417009168511e-05,
351
+ "loss": 0.1412,
352
+ "step": 1225
353
+ },
354
+ {
355
+ "epoch": 0.5335040546308152,
356
+ "grad_norm": 2.919725179672241,
357
+ "learning_rate": 4.567657287385394e-05,
358
+ "loss": 0.1305,
359
+ "step": 1250
360
+ },
361
+ {
362
+ "epoch": 0.5441741357234315,
363
+ "grad_norm": 0.24073974788188934,
364
+ "learning_rate": 4.547897565602276e-05,
365
+ "loss": 0.1203,
366
+ "step": 1275
367
+ },
368
+ {
369
+ "epoch": 0.5548442168160478,
370
+ "grad_norm": 0.010738029144704342,
371
+ "learning_rate": 4.5281378438191594e-05,
372
+ "loss": 0.0627,
373
+ "step": 1300
374
+ },
375
+ {
376
+ "epoch": 0.5655142979086641,
377
+ "grad_norm": 0.008832808583974838,
378
+ "learning_rate": 4.5083781220360424e-05,
379
+ "loss": 0.1611,
380
+ "step": 1325
381
+ },
382
+ {
383
+ "epoch": 0.5761843790012804,
384
+ "grad_norm": 3.6089112758636475,
385
+ "learning_rate": 4.488618400252925e-05,
386
+ "loss": 0.146,
387
+ "step": 1350
388
+ },
389
+ {
390
+ "epoch": 0.5868544600938967,
391
+ "grad_norm": 0.08832165598869324,
392
+ "learning_rate": 4.468858678469807e-05,
393
+ "loss": 0.1005,
394
+ "step": 1375
395
+ },
396
+ {
397
+ "epoch": 0.597524541186513,
398
+ "grad_norm": 0.03827153891324997,
399
+ "learning_rate": 4.44909895668669e-05,
400
+ "loss": 0.1597,
401
+ "step": 1400
402
+ },
403
+ {
404
+ "epoch": 0.6081946222791293,
405
+ "grad_norm": 0.02119293250143528,
406
+ "learning_rate": 4.429339234903573e-05,
407
+ "loss": 0.0933,
408
+ "step": 1425
409
+ },
410
+ {
411
+ "epoch": 0.6188647033717456,
412
+ "grad_norm": 0.004805543925613165,
413
+ "learning_rate": 4.4095795131204555e-05,
414
+ "loss": 0.0904,
415
+ "step": 1450
416
+ },
417
+ {
418
+ "epoch": 0.629534784464362,
419
+ "grad_norm": 0.560352623462677,
420
+ "learning_rate": 4.3898197913373385e-05,
421
+ "loss": 0.1021,
422
+ "step": 1475
423
+ },
424
+ {
425
+ "epoch": 0.6402048655569782,
426
+ "grad_norm": 0.13053584098815918,
427
+ "learning_rate": 4.370060069554221e-05,
428
+ "loss": 0.1822,
429
+ "step": 1500
430
+ },
431
+ {
432
+ "epoch": 0.6508749466495946,
433
+ "grad_norm": 0.020129365846514702,
434
+ "learning_rate": 4.350300347771103e-05,
435
+ "loss": 0.1116,
436
+ "step": 1525
437
+ },
438
+ {
439
+ "epoch": 0.6615450277422108,
440
+ "grad_norm": 0.08490480482578278,
441
+ "learning_rate": 4.330540625987986e-05,
442
+ "loss": 0.1514,
443
+ "step": 1550
444
+ },
445
+ {
446
+ "epoch": 0.6722151088348272,
447
+ "grad_norm": 17.20114517211914,
448
+ "learning_rate": 4.310780904204869e-05,
449
+ "loss": 0.1683,
450
+ "step": 1575
451
+ },
452
+ {
453
+ "epoch": 0.6828851899274434,
454
+ "grad_norm": 20.063180923461914,
455
+ "learning_rate": 4.2910211824217516e-05,
456
+ "loss": 0.0969,
457
+ "step": 1600
458
+ },
459
+ {
460
+ "epoch": 0.6935552710200598,
461
+ "grad_norm": 10.146587371826172,
462
+ "learning_rate": 4.271261460638634e-05,
463
+ "loss": 0.1382,
464
+ "step": 1625
465
+ },
466
+ {
467
+ "epoch": 0.704225352112676,
468
+ "grad_norm": 0.04244920238852501,
469
+ "learning_rate": 4.251501738855517e-05,
470
+ "loss": 0.102,
471
+ "step": 1650
472
+ },
473
+ {
474
+ "epoch": 0.7148954332052924,
475
+ "grad_norm": 3.3513338565826416,
476
+ "learning_rate": 4.2317420170724e-05,
477
+ "loss": 0.0844,
478
+ "step": 1675
479
+ },
480
+ {
481
+ "epoch": 0.7255655142979086,
482
+ "grad_norm": 9.942954063415527,
483
+ "learning_rate": 4.2119822952892824e-05,
484
+ "loss": 0.1169,
485
+ "step": 1700
486
+ },
487
+ {
488
+ "epoch": 0.736235595390525,
489
+ "grad_norm": 0.02176540717482567,
490
+ "learning_rate": 4.1922225735061654e-05,
491
+ "loss": 0.0546,
492
+ "step": 1725
493
+ },
494
+ {
495
+ "epoch": 0.7469056764831413,
496
+ "grad_norm": 0.02619314193725586,
497
+ "learning_rate": 4.172462851723048e-05,
498
+ "loss": 0.1489,
499
+ "step": 1750
500
+ },
501
+ {
502
+ "epoch": 0.7575757575757576,
503
+ "grad_norm": 4.979767799377441,
504
+ "learning_rate": 4.152703129939931e-05,
505
+ "loss": 0.1087,
506
+ "step": 1775
507
+ },
508
+ {
509
+ "epoch": 0.7682458386683739,
510
+ "grad_norm": 0.22245188057422638,
511
+ "learning_rate": 4.132943408156814e-05,
512
+ "loss": 0.0505,
513
+ "step": 1800
514
+ },
515
+ {
516
+ "epoch": 0.7789159197609902,
517
+ "grad_norm": 3.7733798027038574,
518
+ "learning_rate": 4.113183686373696e-05,
519
+ "loss": 0.1281,
520
+ "step": 1825
521
+ },
522
+ {
523
+ "epoch": 0.7895860008536065,
524
+ "grad_norm": 0.004993762820959091,
525
+ "learning_rate": 4.0934239645905786e-05,
526
+ "loss": 0.0967,
527
+ "step": 1850
528
+ },
529
+ {
530
+ "epoch": 0.8002560819462228,
531
+ "grad_norm": 6.705662250518799,
532
+ "learning_rate": 4.0736642428074616e-05,
533
+ "loss": 0.088,
534
+ "step": 1875
535
+ },
536
+ {
537
+ "epoch": 0.8109261630388391,
538
+ "grad_norm": 0.09842755645513535,
539
+ "learning_rate": 4.053904521024344e-05,
540
+ "loss": 0.09,
541
+ "step": 1900
542
+ },
543
+ {
544
+ "epoch": 0.8215962441314554,
545
+ "grad_norm": 0.006683106068521738,
546
+ "learning_rate": 4.034144799241227e-05,
547
+ "loss": 0.0329,
548
+ "step": 1925
549
+ },
550
+ {
551
+ "epoch": 0.8322663252240717,
552
+ "grad_norm": 0.8531517386436462,
553
+ "learning_rate": 4.014385077458109e-05,
554
+ "loss": 0.1405,
555
+ "step": 1950
556
+ },
557
+ {
558
+ "epoch": 0.842936406316688,
559
+ "grad_norm": 0.011011715978384018,
560
+ "learning_rate": 3.9946253556749924e-05,
561
+ "loss": 0.1381,
562
+ "step": 1975
563
+ },
564
+ {
565
+ "epoch": 0.8536064874093043,
566
+ "grad_norm": 0.20137256383895874,
567
+ "learning_rate": 3.974865633891875e-05,
568
+ "loss": 0.1315,
569
+ "step": 2000
570
+ },
571
+ {
572
+ "epoch": 0.8642765685019206,
573
+ "grad_norm": 4.466578006744385,
574
+ "learning_rate": 3.955105912108758e-05,
575
+ "loss": 0.0826,
576
+ "step": 2025
577
+ },
578
+ {
579
+ "epoch": 0.8749466495945369,
580
+ "grad_norm": 0.007189568132162094,
581
+ "learning_rate": 3.935346190325641e-05,
582
+ "loss": 0.0696,
583
+ "step": 2050
584
+ },
585
+ {
586
+ "epoch": 0.8856167306871532,
587
+ "grad_norm": 0.13521578907966614,
588
+ "learning_rate": 3.915586468542523e-05,
589
+ "loss": 0.0647,
590
+ "step": 2075
591
+ },
592
+ {
593
+ "epoch": 0.8962868117797695,
594
+ "grad_norm": 0.09942985326051712,
595
+ "learning_rate": 3.8958267467594055e-05,
596
+ "loss": 0.0337,
597
+ "step": 2100
598
+ },
599
+ {
600
+ "epoch": 0.9069568928723858,
601
+ "grad_norm": 0.003063550451770425,
602
+ "learning_rate": 3.8760670249762885e-05,
603
+ "loss": 0.1349,
604
+ "step": 2125
605
+ },
606
+ {
607
+ "epoch": 0.9176269739650021,
608
+ "grad_norm": 0.03615418076515198,
609
+ "learning_rate": 3.8563073031931715e-05,
610
+ "loss": 0.1884,
611
+ "step": 2150
612
+ },
613
+ {
614
+ "epoch": 0.9282970550576184,
615
+ "grad_norm": 2.4063897132873535,
616
+ "learning_rate": 3.836547581410054e-05,
617
+ "loss": 0.0942,
618
+ "step": 2175
619
+ },
620
+ {
621
+ "epoch": 0.9389671361502347,
622
+ "grad_norm": 0.10824164003133774,
623
+ "learning_rate": 3.816787859626937e-05,
624
+ "loss": 0.1643,
625
+ "step": 2200
626
+ },
627
+ {
628
+ "epoch": 0.949637217242851,
629
+ "grad_norm": 0.23877990245819092,
630
+ "learning_rate": 3.797028137843819e-05,
631
+ "loss": 0.2041,
632
+ "step": 2225
633
+ },
634
+ {
635
+ "epoch": 0.9603072983354674,
636
+ "grad_norm": 0.12965470552444458,
637
+ "learning_rate": 3.7772684160607016e-05,
638
+ "loss": 0.0686,
639
+ "step": 2250
640
+ },
641
+ {
642
+ "epoch": 0.9709773794280837,
643
+ "grad_norm": 9.515990257263184,
644
+ "learning_rate": 3.757508694277585e-05,
645
+ "loss": 0.1288,
646
+ "step": 2275
647
+ },
648
+ {
649
+ "epoch": 0.9816474605207,
650
+ "grad_norm": 0.010902081616222858,
651
+ "learning_rate": 3.737748972494468e-05,
652
+ "loss": 0.1204,
653
+ "step": 2300
654
+ },
655
+ {
656
+ "epoch": 0.9923175416133163,
657
+ "grad_norm": 0.12074346095323563,
658
+ "learning_rate": 3.71798925071135e-05,
659
+ "loss": 0.0735,
660
+ "step": 2325
661
+ },
662
+ {
663
+ "epoch": 1.0,
664
+ "eval_accuracy": 0.9942369263607257,
665
+ "eval_auc": 0.9994051665223928,
666
+ "eval_f1": 0.9942369263607257,
667
+ "eval_loss": 0.02018207497894764,
668
+ "eval_precision": 0.9910638297872341,
669
+ "eval_recall": 0.9974304068522484,
670
+ "eval_runtime": 1286.73,
671
+ "eval_samples_per_second": 3.641,
672
+ "eval_steps_per_second": 0.228,
673
+ "step": 2343
674
+ },
675
+ {
676
+ "epoch": 1.0029876227059327,
677
+ "grad_norm": 0.13857701420783997,
678
+ "learning_rate": 3.6982295289282324e-05,
679
+ "loss": 0.1404,
680
+ "step": 2350
681
+ },
682
+ {
683
+ "epoch": 1.0136577037985488,
684
+ "grad_norm": 16.29566764831543,
685
+ "learning_rate": 3.6784698071451154e-05,
686
+ "loss": 0.1023,
687
+ "step": 2375
688
+ },
689
+ {
690
+ "epoch": 1.0243277848911652,
691
+ "grad_norm": 0.007060299627482891,
692
+ "learning_rate": 3.6587100853619984e-05,
693
+ "loss": 0.0314,
694
+ "step": 2400
695
+ },
696
+ {
697
+ "epoch": 1.0349978659837815,
698
+ "grad_norm": 0.1959122270345688,
699
+ "learning_rate": 3.638950363578881e-05,
700
+ "loss": 0.0698,
701
+ "step": 2425
702
+ },
703
+ {
704
+ "epoch": 1.0456679470763979,
705
+ "grad_norm": 2.1727123260498047,
706
+ "learning_rate": 3.619190641795764e-05,
707
+ "loss": 0.1026,
708
+ "step": 2450
709
+ },
710
+ {
711
+ "epoch": 1.056338028169014,
712
+ "grad_norm": 0.14948531985282898,
713
+ "learning_rate": 3.599430920012646e-05,
714
+ "loss": 0.1336,
715
+ "step": 2475
716
+ },
717
+ {
718
+ "epoch": 1.0670081092616304,
719
+ "grad_norm": 0.0020017814822494984,
720
+ "learning_rate": 3.579671198229529e-05,
721
+ "loss": 0.0718,
722
+ "step": 2500
723
+ },
724
+ {
725
+ "epoch": 1.0776781903542467,
726
+ "grad_norm": 0.040247637778520584,
727
+ "learning_rate": 3.559911476446412e-05,
728
+ "loss": 0.1003,
729
+ "step": 2525
730
+ },
731
+ {
732
+ "epoch": 1.088348271446863,
733
+ "grad_norm": 0.0026400748174637556,
734
+ "learning_rate": 3.5401517546632946e-05,
735
+ "loss": 0.0103,
736
+ "step": 2550
737
+ },
738
+ {
739
+ "epoch": 1.0990183525394792,
740
+ "grad_norm": 13.71839714050293,
741
+ "learning_rate": 3.520392032880177e-05,
742
+ "loss": 0.1549,
743
+ "step": 2575
744
+ },
745
+ {
746
+ "epoch": 1.1096884336320956,
747
+ "grad_norm": 0.016973601654171944,
748
+ "learning_rate": 3.50063231109706e-05,
749
+ "loss": 0.0833,
750
+ "step": 2600
751
+ },
752
+ {
753
+ "epoch": 1.120358514724712,
754
+ "grad_norm": 0.023715652525424957,
755
+ "learning_rate": 3.480872589313943e-05,
756
+ "loss": 0.1606,
757
+ "step": 2625
758
+ },
759
+ {
760
+ "epoch": 1.1310285958173283,
761
+ "grad_norm": 0.12024948000907898,
762
+ "learning_rate": 3.4611128675308254e-05,
763
+ "loss": 0.0659,
764
+ "step": 2650
765
+ },
766
+ {
767
+ "epoch": 1.1416986769099444,
768
+ "grad_norm": 0.013869931921362877,
769
+ "learning_rate": 3.4413531457477084e-05,
770
+ "loss": 0.1145,
771
+ "step": 2675
772
+ },
773
+ {
774
+ "epoch": 1.1523687580025608,
775
+ "grad_norm": 0.003865574486553669,
776
+ "learning_rate": 3.421593423964591e-05,
777
+ "loss": 0.0742,
778
+ "step": 2700
779
+ },
780
+ {
781
+ "epoch": 1.1630388390951771,
782
+ "grad_norm": 6.1942524909973145,
783
+ "learning_rate": 3.401833702181473e-05,
784
+ "loss": 0.1685,
785
+ "step": 2725
786
+ },
787
+ {
788
+ "epoch": 1.1737089201877935,
789
+ "grad_norm": 13.037029266357422,
790
+ "learning_rate": 3.382073980398356e-05,
791
+ "loss": 0.0882,
792
+ "step": 2750
793
+ },
794
+ {
795
+ "epoch": 1.1843790012804098,
796
+ "grad_norm": 0.0354326069355011,
797
+ "learning_rate": 3.362314258615239e-05,
798
+ "loss": 0.1236,
799
+ "step": 2775
800
+ },
801
+ {
802
+ "epoch": 1.195049082373026,
803
+ "grad_norm": 0.18212293088436127,
804
+ "learning_rate": 3.3425545368321215e-05,
805
+ "loss": 0.0612,
806
+ "step": 2800
807
+ },
808
+ {
809
+ "epoch": 1.2057191634656423,
810
+ "grad_norm": 0.019807470962405205,
811
+ "learning_rate": 3.322794815049004e-05,
812
+ "loss": 0.0237,
813
+ "step": 2825
814
+ },
815
+ {
816
+ "epoch": 1.2163892445582587,
817
+ "grad_norm": 0.48490288853645325,
818
+ "learning_rate": 3.303035093265887e-05,
819
+ "loss": 0.1864,
820
+ "step": 2850
821
+ },
822
+ {
823
+ "epoch": 1.2270593256508748,
824
+ "grad_norm": 15.739009857177734,
825
+ "learning_rate": 3.28327537148277e-05,
826
+ "loss": 0.0783,
827
+ "step": 2875
828
+ },
829
+ {
830
+ "epoch": 1.2377294067434912,
831
+ "grad_norm": 0.00520035345107317,
832
+ "learning_rate": 3.263515649699652e-05,
833
+ "loss": 0.056,
834
+ "step": 2900
835
+ },
836
+ {
837
+ "epoch": 1.2483994878361075,
838
+ "grad_norm": 0.007584866136312485,
839
+ "learning_rate": 3.243755927916535e-05,
840
+ "loss": 0.1054,
841
+ "step": 2925
842
+ },
843
+ {
844
+ "epoch": 1.259069568928724,
845
+ "grad_norm": 0.009660612791776657,
846
+ "learning_rate": 3.2239962061334176e-05,
847
+ "loss": 0.1001,
848
+ "step": 2950
849
+ },
850
+ {
851
+ "epoch": 1.2697396500213403,
852
+ "grad_norm": 5.9183735847473145,
853
+ "learning_rate": 3.2042364843503e-05,
854
+ "loss": 0.0959,
855
+ "step": 2975
856
+ },
857
+ {
858
+ "epoch": 1.2804097311139564,
859
+ "grad_norm": 0.017659351229667664,
860
+ "learning_rate": 3.184476762567184e-05,
861
+ "loss": 0.0771,
862
+ "step": 3000
863
+ },
864
+ {
865
+ "epoch": 1.2910798122065728,
866
+ "grad_norm": 0.05887264013290405,
867
+ "learning_rate": 3.164717040784066e-05,
868
+ "loss": 0.0527,
869
+ "step": 3025
870
+ },
871
+ {
872
+ "epoch": 1.301749893299189,
873
+ "grad_norm": 47.84782028198242,
874
+ "learning_rate": 3.1449573190009484e-05,
875
+ "loss": 0.0658,
876
+ "step": 3050
877
+ },
878
+ {
879
+ "epoch": 1.3124199743918052,
880
+ "grad_norm": 0.046731848269701004,
881
+ "learning_rate": 3.1251975972178314e-05,
882
+ "loss": 0.0446,
883
+ "step": 3075
884
+ },
885
+ {
886
+ "epoch": 1.3230900554844216,
887
+ "grad_norm": 23.92389678955078,
888
+ "learning_rate": 3.105437875434714e-05,
889
+ "loss": 0.1645,
890
+ "step": 3100
891
+ },
892
+ {
893
+ "epoch": 1.333760136577038,
894
+ "grad_norm": 0.23928241431713104,
895
+ "learning_rate": 3.085678153651597e-05,
896
+ "loss": 0.0808,
897
+ "step": 3125
898
+ },
899
+ {
900
+ "epoch": 1.3444302176696543,
901
+ "grad_norm": 0.004650407936424017,
902
+ "learning_rate": 3.06591843186848e-05,
903
+ "loss": 0.0788,
904
+ "step": 3150
905
+ },
906
+ {
907
+ "epoch": 1.3551002987622707,
908
+ "grad_norm": 2.407900333404541,
909
+ "learning_rate": 3.0461587100853622e-05,
910
+ "loss": 0.0663,
911
+ "step": 3175
912
+ },
913
+ {
914
+ "epoch": 1.365770379854887,
915
+ "grad_norm": 0.024215010926127434,
916
+ "learning_rate": 3.026398988302245e-05,
917
+ "loss": 0.0836,
918
+ "step": 3200
919
+ },
920
+ {
921
+ "epoch": 1.3764404609475032,
922
+ "grad_norm": 8.639642715454102,
923
+ "learning_rate": 3.0066392665191273e-05,
924
+ "loss": 0.0826,
925
+ "step": 3225
926
+ },
927
+ {
928
+ "epoch": 1.3871105420401195,
929
+ "grad_norm": 0.4214279353618622,
930
+ "learning_rate": 2.9868795447360103e-05,
931
+ "loss": 0.0407,
932
+ "step": 3250
933
+ },
934
+ {
935
+ "epoch": 1.3977806231327359,
936
+ "grad_norm": 3.026334285736084,
937
+ "learning_rate": 2.967119822952893e-05,
938
+ "loss": 0.0902,
939
+ "step": 3275
940
+ },
941
+ {
942
+ "epoch": 1.408450704225352,
943
+ "grad_norm": 5.5475568771362305,
944
+ "learning_rate": 2.9473601011697753e-05,
945
+ "loss": 0.0213,
946
+ "step": 3300
947
+ },
948
+ {
949
+ "epoch": 1.4191207853179684,
950
+ "grad_norm": 0.4343937337398529,
951
+ "learning_rate": 2.9276003793866587e-05,
952
+ "loss": 0.0485,
953
+ "step": 3325
954
+ },
955
+ {
956
+ "epoch": 1.4297908664105847,
957
+ "grad_norm": 4.497000217437744,
958
+ "learning_rate": 2.907840657603541e-05,
959
+ "loss": 0.0254,
960
+ "step": 3350
961
+ },
962
+ {
963
+ "epoch": 1.440460947503201,
964
+ "grad_norm": 9.44819164276123,
965
+ "learning_rate": 2.8880809358204237e-05,
966
+ "loss": 0.1441,
967
+ "step": 3375
968
+ },
969
+ {
970
+ "epoch": 1.4511310285958174,
971
+ "grad_norm": 0.5778021812438965,
972
+ "learning_rate": 2.8683212140373068e-05,
973
+ "loss": 0.0601,
974
+ "step": 3400
975
+ },
976
+ {
977
+ "epoch": 1.4618011096884336,
978
+ "grad_norm": 0.0012221585493534803,
979
+ "learning_rate": 2.848561492254189e-05,
980
+ "loss": 0.0134,
981
+ "step": 3425
982
+ },
983
+ {
984
+ "epoch": 1.47247119078105,
985
+ "grad_norm": 0.003332477994263172,
986
+ "learning_rate": 2.8288017704710718e-05,
987
+ "loss": 0.0872,
988
+ "step": 3450
989
+ },
990
+ {
991
+ "epoch": 1.4831412718736663,
992
+ "grad_norm": 19.613975524902344,
993
+ "learning_rate": 2.809042048687955e-05,
994
+ "loss": 0.0975,
995
+ "step": 3475
996
+ },
997
+ {
998
+ "epoch": 1.4938113529662824,
999
+ "grad_norm": 0.0008805744582787156,
1000
+ "learning_rate": 2.7892823269048375e-05,
1001
+ "loss": 0.0348,
1002
+ "step": 3500
1003
+ },
1004
+ {
1005
+ "epoch": 1.5044814340588988,
1006
+ "grad_norm": 0.745171070098877,
1007
+ "learning_rate": 2.76952260512172e-05,
1008
+ "loss": 0.0709,
1009
+ "step": 3525
1010
+ },
1011
+ {
1012
+ "epoch": 1.5151515151515151,
1013
+ "grad_norm": 0.0018973586848005652,
1014
+ "learning_rate": 2.749762883338603e-05,
1015
+ "loss": 0.1068,
1016
+ "step": 3550
1017
+ },
1018
+ {
1019
+ "epoch": 1.5258215962441315,
1020
+ "grad_norm": 7.711709022521973,
1021
+ "learning_rate": 2.7300031615554856e-05,
1022
+ "loss": 0.1518,
1023
+ "step": 3575
1024
+ },
1025
+ {
1026
+ "epoch": 1.5364916773367479,
1027
+ "grad_norm": 0.08238033205270767,
1028
+ "learning_rate": 2.710243439772368e-05,
1029
+ "loss": 0.0806,
1030
+ "step": 3600
1031
+ },
1032
+ {
1033
+ "epoch": 1.5471617584293642,
1034
+ "grad_norm": 0.00853784941136837,
1035
+ "learning_rate": 2.6904837179892507e-05,
1036
+ "loss": 0.0889,
1037
+ "step": 3625
1038
+ },
1039
+ {
1040
+ "epoch": 1.5578318395219803,
1041
+ "grad_norm": 0.06024482846260071,
1042
+ "learning_rate": 2.6707239962061337e-05,
1043
+ "loss": 0.0724,
1044
+ "step": 3650
1045
+ },
1046
+ {
1047
+ "epoch": 1.5685019206145967,
1048
+ "grad_norm": 0.06635627895593643,
1049
+ "learning_rate": 2.650964274423016e-05,
1050
+ "loss": 0.0477,
1051
+ "step": 3675
1052
+ },
1053
+ {
1054
+ "epoch": 1.5791720017072128,
1055
+ "grad_norm": 0.057497624307870865,
1056
+ "learning_rate": 2.6312045526398987e-05,
1057
+ "loss": 0.0362,
1058
+ "step": 3700
1059
+ },
1060
+ {
1061
+ "epoch": 1.5898420827998292,
1062
+ "grad_norm": 5.420880317687988,
1063
+ "learning_rate": 2.6114448308567818e-05,
1064
+ "loss": 0.0996,
1065
+ "step": 3725
1066
+ },
1067
+ {
1068
+ "epoch": 1.6005121638924455,
1069
+ "grad_norm": 0.03688732162117958,
1070
+ "learning_rate": 2.5916851090736644e-05,
1071
+ "loss": 0.1065,
1072
+ "step": 3750
1073
+ },
1074
+ {
1075
+ "epoch": 1.611182244985062,
1076
+ "grad_norm": 0.01889336109161377,
1077
+ "learning_rate": 2.5719253872905468e-05,
1078
+ "loss": 0.0675,
1079
+ "step": 3775
1080
+ },
1081
+ {
1082
+ "epoch": 1.6218523260776783,
1083
+ "grad_norm": 0.041272666305303574,
1084
+ "learning_rate": 2.5521656655074298e-05,
1085
+ "loss": 0.0783,
1086
+ "step": 3800
1087
+ },
1088
+ {
1089
+ "epoch": 1.6325224071702946,
1090
+ "grad_norm": 0.0283421128988266,
1091
+ "learning_rate": 2.5324059437243125e-05,
1092
+ "loss": 0.0535,
1093
+ "step": 3825
1094
+ },
1095
+ {
1096
+ "epoch": 1.6431924882629108,
1097
+ "grad_norm": 0.03971688076853752,
1098
+ "learning_rate": 2.512646221941195e-05,
1099
+ "loss": 0.0916,
1100
+ "step": 3850
1101
+ },
1102
+ {
1103
+ "epoch": 1.6538625693555271,
1104
+ "grad_norm": 0.7453581690788269,
1105
+ "learning_rate": 2.492886500158078e-05,
1106
+ "loss": 0.0275,
1107
+ "step": 3875
1108
+ },
1109
+ {
1110
+ "epoch": 1.6645326504481432,
1111
+ "grad_norm": 0.0038267953786998987,
1112
+ "learning_rate": 2.4731267783749606e-05,
1113
+ "loss": 0.0636,
1114
+ "step": 3900
1115
+ },
1116
+ {
1117
+ "epoch": 1.6752027315407596,
1118
+ "grad_norm": 17.677406311035156,
1119
+ "learning_rate": 2.4533670565918433e-05,
1120
+ "loss": 0.0811,
1121
+ "step": 3925
1122
+ },
1123
+ {
1124
+ "epoch": 1.685872812633376,
1125
+ "grad_norm": 0.056949540972709656,
1126
+ "learning_rate": 2.433607334808726e-05,
1127
+ "loss": 0.1143,
1128
+ "step": 3950
1129
+ },
1130
+ {
1131
+ "epoch": 1.6965428937259923,
1132
+ "grad_norm": 0.06619152426719666,
1133
+ "learning_rate": 2.4138476130256087e-05,
1134
+ "loss": 0.0825,
1135
+ "step": 3975
1136
+ },
1137
+ {
1138
+ "epoch": 1.7072129748186087,
1139
+ "grad_norm": 29.96984100341797,
1140
+ "learning_rate": 2.3940878912424914e-05,
1141
+ "loss": 0.1266,
1142
+ "step": 4000
1143
+ },
1144
+ {
1145
+ "epoch": 1.717883055911225,
1146
+ "grad_norm": 7.958868026733398,
1147
+ "learning_rate": 2.374328169459374e-05,
1148
+ "loss": 0.0979,
1149
+ "step": 4025
1150
+ },
1151
+ {
1152
+ "epoch": 1.7285531370038414,
1153
+ "grad_norm": 0.0707533210515976,
1154
+ "learning_rate": 2.354568447676257e-05,
1155
+ "loss": 0.1238,
1156
+ "step": 4050
1157
+ },
1158
+ {
1159
+ "epoch": 1.7392232180964575,
1160
+ "grad_norm": 5.3426408767700195,
1161
+ "learning_rate": 2.3348087258931394e-05,
1162
+ "loss": 0.0941,
1163
+ "step": 4075
1164
+ },
1165
+ {
1166
+ "epoch": 1.7498932991890739,
1167
+ "grad_norm": 0.8626427054405212,
1168
+ "learning_rate": 2.315049004110022e-05,
1169
+ "loss": 0.037,
1170
+ "step": 4100
1171
+ },
1172
+ {
1173
+ "epoch": 1.76056338028169,
1174
+ "grad_norm": 0.007791485637426376,
1175
+ "learning_rate": 2.2952892823269048e-05,
1176
+ "loss": 0.039,
1177
+ "step": 4125
1178
+ },
1179
+ {
1180
+ "epoch": 1.7712334613743064,
1181
+ "grad_norm": 0.0019313797820359468,
1182
+ "learning_rate": 2.2755295605437875e-05,
1183
+ "loss": 0.0719,
1184
+ "step": 4150
1185
+ },
1186
+ {
1187
+ "epoch": 1.7819035424669227,
1188
+ "grad_norm": 0.058322928845882416,
1189
+ "learning_rate": 2.2557698387606705e-05,
1190
+ "loss": 0.0242,
1191
+ "step": 4175
1192
+ },
1193
+ {
1194
+ "epoch": 1.792573623559539,
1195
+ "grad_norm": 6.136843204498291,
1196
+ "learning_rate": 2.236010116977553e-05,
1197
+ "loss": 0.1471,
1198
+ "step": 4200
1199
+ },
1200
+ {
1201
+ "epoch": 1.8032437046521554,
1202
+ "grad_norm": 16.353532791137695,
1203
+ "learning_rate": 2.216250395194436e-05,
1204
+ "loss": 0.034,
1205
+ "step": 4225
1206
+ },
1207
+ {
1208
+ "epoch": 1.8139137857447718,
1209
+ "grad_norm": 18.50251007080078,
1210
+ "learning_rate": 2.1964906734113186e-05,
1211
+ "loss": 0.0398,
1212
+ "step": 4250
1213
+ },
1214
+ {
1215
+ "epoch": 1.824583866837388,
1216
+ "grad_norm": 0.3170296251773834,
1217
+ "learning_rate": 2.176730951628201e-05,
1218
+ "loss": 0.0841,
1219
+ "step": 4275
1220
+ },
1221
+ {
1222
+ "epoch": 1.8352539479300043,
1223
+ "grad_norm": 0.0018119533779099584,
1224
+ "learning_rate": 2.156971229845084e-05,
1225
+ "loss": 0.0634,
1226
+ "step": 4300
1227
+ },
1228
+ {
1229
+ "epoch": 1.8459240290226204,
1230
+ "grad_norm": 0.035546980798244476,
1231
+ "learning_rate": 2.1372115080619663e-05,
1232
+ "loss": 0.1411,
1233
+ "step": 4325
1234
+ },
1235
+ {
1236
+ "epoch": 1.8565941101152368,
1237
+ "grad_norm": 0.5771517753601074,
1238
+ "learning_rate": 2.1174517862788494e-05,
1239
+ "loss": 0.0917,
1240
+ "step": 4350
1241
+ },
1242
+ {
1243
+ "epoch": 1.8672641912078531,
1244
+ "grad_norm": 0.013703244738280773,
1245
+ "learning_rate": 2.097692064495732e-05,
1246
+ "loss": 0.0859,
1247
+ "step": 4375
1248
+ },
1249
+ {
1250
+ "epoch": 1.8779342723004695,
1251
+ "grad_norm": 20.912160873413086,
1252
+ "learning_rate": 2.0779323427126148e-05,
1253
+ "loss": 0.0813,
1254
+ "step": 4400
1255
+ },
1256
+ {
1257
+ "epoch": 1.8886043533930859,
1258
+ "grad_norm": 0.2195858508348465,
1259
+ "learning_rate": 2.0581726209294974e-05,
1260
+ "loss": 0.1836,
1261
+ "step": 4425
1262
+ },
1263
+ {
1264
+ "epoch": 1.8992744344857022,
1265
+ "grad_norm": 8.048083305358887,
1266
+ "learning_rate": 2.03841289914638e-05,
1267
+ "loss": 0.0874,
1268
+ "step": 4450
1269
+ },
1270
+ {
1271
+ "epoch": 1.9099445155783183,
1272
+ "grad_norm": 0.010916252620518208,
1273
+ "learning_rate": 2.0186531773632628e-05,
1274
+ "loss": 0.0122,
1275
+ "step": 4475
1276
+ },
1277
+ {
1278
+ "epoch": 1.9206145966709347,
1279
+ "grad_norm": 29.587345123291016,
1280
+ "learning_rate": 1.9988934555801455e-05,
1281
+ "loss": 0.0956,
1282
+ "step": 4500
1283
+ },
1284
+ {
1285
+ "epoch": 1.9312846777635508,
1286
+ "grad_norm": 24.480087280273438,
1287
+ "learning_rate": 1.9791337337970282e-05,
1288
+ "loss": 0.0754,
1289
+ "step": 4525
1290
+ },
1291
+ {
1292
+ "epoch": 1.9419547588561672,
1293
+ "grad_norm": 15.161417961120605,
1294
+ "learning_rate": 1.959374012013911e-05,
1295
+ "loss": 0.0414,
1296
+ "step": 4550
1297
+ },
1298
+ {
1299
+ "epoch": 1.9526248399487836,
1300
+ "grad_norm": 0.2126699984073639,
1301
+ "learning_rate": 1.9396142902307936e-05,
1302
+ "loss": 0.0727,
1303
+ "step": 4575
1304
+ },
1305
+ {
1306
+ "epoch": 1.9632949210414,
1307
+ "grad_norm": 9.748570442199707,
1308
+ "learning_rate": 1.9198545684476763e-05,
1309
+ "loss": 0.0911,
1310
+ "step": 4600
1311
+ },
1312
+ {
1313
+ "epoch": 1.9739650021340163,
1314
+ "grad_norm": 0.005681836046278477,
1315
+ "learning_rate": 1.900094846664559e-05,
1316
+ "loss": 0.0652,
1317
+ "step": 4625
1318
+ },
1319
+ {
1320
+ "epoch": 1.9846350832266326,
1321
+ "grad_norm": 0.010802343487739563,
1322
+ "learning_rate": 1.880335124881442e-05,
1323
+ "loss": 0.0306,
1324
+ "step": 4650
1325
+ },
1326
+ {
1327
+ "epoch": 1.995305164319249,
1328
+ "grad_norm": 0.0069721778854727745,
1329
+ "learning_rate": 1.8605754030983244e-05,
1330
+ "loss": 0.0705,
1331
+ "step": 4675
1332
+ },
1333
+ {
1334
+ "epoch": 2.0,
1335
+ "eval_accuracy": 0.9955176093916756,
1336
+ "eval_auc": 0.9994811608729328,
1337
+ "eval_f1": 0.9955137791070284,
1338
+ "eval_loss": 0.01761646941304207,
1339
+ "eval_precision": 0.9931798806479113,
1340
+ "eval_recall": 0.9978586723768736,
1341
+ "eval_runtime": 1381.3155,
1342
+ "eval_samples_per_second": 3.392,
1343
+ "eval_steps_per_second": 0.212,
1344
+ "step": 4686
1345
+ },
1346
+ {
1347
+ "epoch": 2.0059752454118653,
1348
+ "grad_norm": 0.010495180264115334,
1349
+ "learning_rate": 1.840815681315207e-05,
1350
+ "loss": 0.0779,
1351
+ "step": 4700
1352
+ },
1353
+ {
1354
+ "epoch": 2.0166453265044813,
1355
+ "grad_norm": 1.1236854791641235,
1356
+ "learning_rate": 1.8210559595320897e-05,
1357
+ "loss": 0.07,
1358
+ "step": 4725
1359
+ },
1360
+ {
1361
+ "epoch": 2.0273154075970976,
1362
+ "grad_norm": 0.09067221730947495,
1363
+ "learning_rate": 1.8012962377489724e-05,
1364
+ "loss": 0.0346,
1365
+ "step": 4750
1366
+ },
1367
+ {
1368
+ "epoch": 2.037985488689714,
1369
+ "grad_norm": 0.005663533229380846,
1370
+ "learning_rate": 1.7815365159658555e-05,
1371
+ "loss": 0.0374,
1372
+ "step": 4775
1373
+ },
1374
+ {
1375
+ "epoch": 2.0486555697823303,
1376
+ "grad_norm": 0.004197725094854832,
1377
+ "learning_rate": 1.7617767941827378e-05,
1378
+ "loss": 0.0368,
1379
+ "step": 4800
1380
+ },
1381
+ {
1382
+ "epoch": 2.0593256508749467,
1383
+ "grad_norm": 44.16444778442383,
1384
+ "learning_rate": 1.742017072399621e-05,
1385
+ "loss": 0.0744,
1386
+ "step": 4825
1387
+ },
1388
+ {
1389
+ "epoch": 2.069995731967563,
1390
+ "grad_norm": 0.021498629823327065,
1391
+ "learning_rate": 1.7222573506165035e-05,
1392
+ "loss": 0.1031,
1393
+ "step": 4850
1394
+ },
1395
+ {
1396
+ "epoch": 2.0806658130601794,
1397
+ "grad_norm": 0.057749390602111816,
1398
+ "learning_rate": 1.702497628833386e-05,
1399
+ "loss": 0.0597,
1400
+ "step": 4875
1401
+ },
1402
+ {
1403
+ "epoch": 2.0913358941527957,
1404
+ "grad_norm": 0.15275585651397705,
1405
+ "learning_rate": 1.682737907050269e-05,
1406
+ "loss": 0.0305,
1407
+ "step": 4900
1408
+ },
1409
+ {
1410
+ "epoch": 2.1020059752454117,
1411
+ "grad_norm": 0.13239429891109467,
1412
+ "learning_rate": 1.6629781852671516e-05,
1413
+ "loss": 0.0338,
1414
+ "step": 4925
1415
+ },
1416
+ {
1417
+ "epoch": 2.112676056338028,
1418
+ "grad_norm": 9.17479419708252,
1419
+ "learning_rate": 1.6432184634840343e-05,
1420
+ "loss": 0.0517,
1421
+ "step": 4950
1422
+ },
1423
+ {
1424
+ "epoch": 2.1233461374306444,
1425
+ "grad_norm": 0.002612267853692174,
1426
+ "learning_rate": 1.623458741700917e-05,
1427
+ "loss": 0.0472,
1428
+ "step": 4975
1429
+ },
1430
+ {
1431
+ "epoch": 2.1340162185232607,
1432
+ "grad_norm": 6.946547031402588,
1433
+ "learning_rate": 1.6036990199177997e-05,
1434
+ "loss": 0.0854,
1435
+ "step": 5000
1436
+ },
1437
+ {
1438
+ "epoch": 2.144686299615877,
1439
+ "grad_norm": 0.0008439666125923395,
1440
+ "learning_rate": 1.5839392981346824e-05,
1441
+ "loss": 0.0394,
1442
+ "step": 5025
1443
+ },
1444
+ {
1445
+ "epoch": 2.1553563807084934,
1446
+ "grad_norm": 0.03294059634208679,
1447
+ "learning_rate": 1.564179576351565e-05,
1448
+ "loss": 0.0745,
1449
+ "step": 5050
1450
+ },
1451
+ {
1452
+ "epoch": 2.16602646180111,
1453
+ "grad_norm": 5.746143817901611,
1454
+ "learning_rate": 1.5444198545684478e-05,
1455
+ "loss": 0.0595,
1456
+ "step": 5075
1457
+ },
1458
+ {
1459
+ "epoch": 2.176696542893726,
1460
+ "grad_norm": 0.020633000880479813,
1461
+ "learning_rate": 1.5246601327853304e-05,
1462
+ "loss": 0.0027,
1463
+ "step": 5100
1464
+ },
1465
+ {
1466
+ "epoch": 2.1873666239863425,
1467
+ "grad_norm": 0.08342266827821732,
1468
+ "learning_rate": 1.5049004110022133e-05,
1469
+ "loss": 0.0944,
1470
+ "step": 5125
1471
+ },
1472
+ {
1473
+ "epoch": 2.1980367050789584,
1474
+ "grad_norm": 6.828884124755859,
1475
+ "learning_rate": 1.4851406892190958e-05,
1476
+ "loss": 0.0776,
1477
+ "step": 5150
1478
+ },
1479
+ {
1480
+ "epoch": 2.208706786171575,
1481
+ "grad_norm": 2.5025949478149414,
1482
+ "learning_rate": 1.4653809674359787e-05,
1483
+ "loss": 0.0812,
1484
+ "step": 5175
1485
+ },
1486
+ {
1487
+ "epoch": 2.219376867264191,
1488
+ "grad_norm": 0.010205933824181557,
1489
+ "learning_rate": 1.4456212456528612e-05,
1490
+ "loss": 0.0416,
1491
+ "step": 5200
1492
+ },
1493
+ {
1494
+ "epoch": 2.2300469483568075,
1495
+ "grad_norm": 0.014995824545621872,
1496
+ "learning_rate": 1.4258615238697439e-05,
1497
+ "loss": 0.0476,
1498
+ "step": 5225
1499
+ },
1500
+ {
1501
+ "epoch": 2.240717029449424,
1502
+ "grad_norm": 0.011430823244154453,
1503
+ "learning_rate": 1.4061018020866268e-05,
1504
+ "loss": 0.0688,
1505
+ "step": 5250
1506
+ },
1507
+ {
1508
+ "epoch": 2.25138711054204,
1509
+ "grad_norm": 0.024417445063591003,
1510
+ "learning_rate": 1.3863420803035093e-05,
1511
+ "loss": 0.0445,
1512
+ "step": 5275
1513
+ },
1514
+ {
1515
+ "epoch": 2.2620571916346566,
1516
+ "grad_norm": 0.04339329153299332,
1517
+ "learning_rate": 1.3665823585203921e-05,
1518
+ "loss": 0.0443,
1519
+ "step": 5300
1520
+ },
1521
+ {
1522
+ "epoch": 2.2727272727272725,
1523
+ "grad_norm": 0.006649048998951912,
1524
+ "learning_rate": 1.346822636737275e-05,
1525
+ "loss": 0.076,
1526
+ "step": 5325
1527
+ },
1528
+ {
1529
+ "epoch": 2.283397353819889,
1530
+ "grad_norm": 11.57873821258545,
1531
+ "learning_rate": 1.3270629149541575e-05,
1532
+ "loss": 0.0266,
1533
+ "step": 5350
1534
+ },
1535
+ {
1536
+ "epoch": 2.294067434912505,
1537
+ "grad_norm": 0.12145959585905075,
1538
+ "learning_rate": 1.3073031931710402e-05,
1539
+ "loss": 0.0953,
1540
+ "step": 5375
1541
+ },
1542
+ {
1543
+ "epoch": 2.3047375160051216,
1544
+ "grad_norm": 0.03219663351774216,
1545
+ "learning_rate": 1.2875434713879227e-05,
1546
+ "loss": 0.0797,
1547
+ "step": 5400
1548
+ },
1549
+ {
1550
+ "epoch": 2.315407597097738,
1551
+ "grad_norm": 0.011474654078483582,
1552
+ "learning_rate": 1.2677837496048056e-05,
1553
+ "loss": 0.0274,
1554
+ "step": 5425
1555
+ },
1556
+ {
1557
+ "epoch": 2.3260776781903543,
1558
+ "grad_norm": 0.001972693484276533,
1559
+ "learning_rate": 1.2480240278216883e-05,
1560
+ "loss": 0.0563,
1561
+ "step": 5450
1562
+ },
1563
+ {
1564
+ "epoch": 2.3367477592829706,
1565
+ "grad_norm": 0.9134419560432434,
1566
+ "learning_rate": 1.2282643060385712e-05,
1567
+ "loss": 0.0292,
1568
+ "step": 5475
1569
+ },
1570
+ {
1571
+ "epoch": 2.347417840375587,
1572
+ "grad_norm": 0.002546141389757395,
1573
+ "learning_rate": 1.2085045842554538e-05,
1574
+ "loss": 0.0428,
1575
+ "step": 5500
1576
+ },
1577
+ {
1578
+ "epoch": 2.3580879214682033,
1579
+ "grad_norm": 0.0010626994771882892,
1580
+ "learning_rate": 1.1887448624723364e-05,
1581
+ "loss": 0.076,
1582
+ "step": 5525
1583
+ },
1584
+ {
1585
+ "epoch": 2.3687580025608197,
1586
+ "grad_norm": 0.0040688286535441875,
1587
+ "learning_rate": 1.168985140689219e-05,
1588
+ "loss": 0.0782,
1589
+ "step": 5550
1590
+ },
1591
+ {
1592
+ "epoch": 2.3794280836534356,
1593
+ "grad_norm": 0.02786325477063656,
1594
+ "learning_rate": 1.149225418906102e-05,
1595
+ "loss": 0.0123,
1596
+ "step": 5575
1597
+ },
1598
+ {
1599
+ "epoch": 2.390098164746052,
1600
+ "grad_norm": 0.4415593147277832,
1601
+ "learning_rate": 1.1294656971229846e-05,
1602
+ "loss": 0.0589,
1603
+ "step": 5600
1604
+ },
1605
+ {
1606
+ "epoch": 2.4007682458386683,
1607
+ "grad_norm": 0.0095005938783288,
1608
+ "learning_rate": 1.1097059753398673e-05,
1609
+ "loss": 0.1002,
1610
+ "step": 5625
1611
+ },
1612
+ {
1613
+ "epoch": 2.4114383269312847,
1614
+ "grad_norm": 0.11727124452590942,
1615
+ "learning_rate": 1.08994625355675e-05,
1616
+ "loss": 0.0324,
1617
+ "step": 5650
1618
+ },
1619
+ {
1620
+ "epoch": 2.422108408023901,
1621
+ "grad_norm": 3.638735294342041,
1622
+ "learning_rate": 1.0701865317736327e-05,
1623
+ "loss": 0.1456,
1624
+ "step": 5675
1625
+ },
1626
+ {
1627
+ "epoch": 2.4327784891165174,
1628
+ "grad_norm": 0.025659436360001564,
1629
+ "learning_rate": 1.0504268099905154e-05,
1630
+ "loss": 0.0323,
1631
+ "step": 5700
1632
+ },
1633
+ {
1634
+ "epoch": 2.4434485702091338,
1635
+ "grad_norm": 0.000763273739721626,
1636
+ "learning_rate": 1.030667088207398e-05,
1637
+ "loss": 0.019,
1638
+ "step": 5725
1639
+ },
1640
+ {
1641
+ "epoch": 2.4541186513017497,
1642
+ "grad_norm": 13.73189926147461,
1643
+ "learning_rate": 1.0109073664242808e-05,
1644
+ "loss": 0.0804,
1645
+ "step": 5750
1646
+ },
1647
+ {
1648
+ "epoch": 2.464788732394366,
1649
+ "grad_norm": 13.580681800842285,
1650
+ "learning_rate": 9.911476446411636e-06,
1651
+ "loss": 0.0628,
1652
+ "step": 5775
1653
+ },
1654
+ {
1655
+ "epoch": 2.4754588134869824,
1656
+ "grad_norm": 0.0029777430463582277,
1657
+ "learning_rate": 9.713879228580461e-06,
1658
+ "loss": 0.0807,
1659
+ "step": 5800
1660
+ },
1661
+ {
1662
+ "epoch": 2.4861288945795987,
1663
+ "grad_norm": 0.003513498930260539,
1664
+ "learning_rate": 9.516282010749288e-06,
1665
+ "loss": 0.0826,
1666
+ "step": 5825
1667
+ },
1668
+ {
1669
+ "epoch": 2.496798975672215,
1670
+ "grad_norm": 0.009089035913348198,
1671
+ "learning_rate": 9.318684792918115e-06,
1672
+ "loss": 0.0406,
1673
+ "step": 5850
1674
+ },
1675
+ {
1676
+ "epoch": 2.5074690567648314,
1677
+ "grad_norm": 0.0068649169988930225,
1678
+ "learning_rate": 9.121087575086944e-06,
1679
+ "loss": 0.1065,
1680
+ "step": 5875
1681
+ },
1682
+ {
1683
+ "epoch": 2.518139137857448,
1684
+ "grad_norm": 20.251689910888672,
1685
+ "learning_rate": 8.92349035725577e-06,
1686
+ "loss": 0.1227,
1687
+ "step": 5900
1688
+ },
1689
+ {
1690
+ "epoch": 2.528809218950064,
1691
+ "grad_norm": 0.1939096450805664,
1692
+ "learning_rate": 8.725893139424598e-06,
1693
+ "loss": 0.0343,
1694
+ "step": 5925
1695
+ },
1696
+ {
1697
+ "epoch": 2.5394793000426805,
1698
+ "grad_norm": 0.6377553939819336,
1699
+ "learning_rate": 8.528295921593425e-06,
1700
+ "loss": 0.0247,
1701
+ "step": 5950
1702
+ },
1703
+ {
1704
+ "epoch": 2.550149381135297,
1705
+ "grad_norm": 1.8269633054733276,
1706
+ "learning_rate": 8.330698703762251e-06,
1707
+ "loss": 0.057,
1708
+ "step": 5975
1709
+ },
1710
+ {
1711
+ "epoch": 2.560819462227913,
1712
+ "grad_norm": 0.004431420471519232,
1713
+ "learning_rate": 8.133101485931078e-06,
1714
+ "loss": 0.0184,
1715
+ "step": 6000
1716
+ },
1717
+ {
1718
+ "epoch": 2.571489543320529,
1719
+ "grad_norm": 0.0886378139257431,
1720
+ "learning_rate": 7.935504268099905e-06,
1721
+ "loss": 0.1559,
1722
+ "step": 6025
1723
+ },
1724
+ {
1725
+ "epoch": 2.5821596244131455,
1726
+ "grad_norm": 0.011996462009847164,
1727
+ "learning_rate": 7.737907050268732e-06,
1728
+ "loss": 0.1207,
1729
+ "step": 6050
1730
+ },
1731
+ {
1732
+ "epoch": 2.592829705505762,
1733
+ "grad_norm": 0.025645237416028976,
1734
+ "learning_rate": 7.54030983243756e-06,
1735
+ "loss": 0.0327,
1736
+ "step": 6075
1737
+ },
1738
+ {
1739
+ "epoch": 2.603499786598378,
1740
+ "grad_norm": 0.05047876015305519,
1741
+ "learning_rate": 7.342712614606387e-06,
1742
+ "loss": 0.07,
1743
+ "step": 6100
1744
+ },
1745
+ {
1746
+ "epoch": 2.6141698676909946,
1747
+ "grad_norm": 0.24467694759368896,
1748
+ "learning_rate": 7.145115396775214e-06,
1749
+ "loss": 0.0104,
1750
+ "step": 6125
1751
+ },
1752
+ {
1753
+ "epoch": 2.6248399487836105,
1754
+ "grad_norm": 0.07860807329416275,
1755
+ "learning_rate": 6.94751817894404e-06,
1756
+ "loss": 0.073,
1757
+ "step": 6150
1758
+ },
1759
+ {
1760
+ "epoch": 2.635510029876227,
1761
+ "grad_norm": 0.03573083132505417,
1762
+ "learning_rate": 6.7499209611128685e-06,
1763
+ "loss": 0.0616,
1764
+ "step": 6175
1765
+ },
1766
+ {
1767
+ "epoch": 2.646180110968843,
1768
+ "grad_norm": 1.0572718381881714,
1769
+ "learning_rate": 6.552323743281695e-06,
1770
+ "loss": 0.0872,
1771
+ "step": 6200
1772
+ },
1773
+ {
1774
+ "epoch": 2.6568501920614596,
1775
+ "grad_norm": 0.009367382153868675,
1776
+ "learning_rate": 6.3547265254505215e-06,
1777
+ "loss": 0.0388,
1778
+ "step": 6225
1779
+ },
1780
+ {
1781
+ "epoch": 2.667520273154076,
1782
+ "grad_norm": 0.02948431856930256,
1783
+ "learning_rate": 6.157129307619349e-06,
1784
+ "loss": 0.0831,
1785
+ "step": 6250
1786
+ },
1787
+ {
1788
+ "epoch": 2.6781903542466923,
1789
+ "grad_norm": 0.0797591432929039,
1790
+ "learning_rate": 5.959532089788176e-06,
1791
+ "loss": 0.049,
1792
+ "step": 6275
1793
+ },
1794
+ {
1795
+ "epoch": 2.6888604353393086,
1796
+ "grad_norm": 0.034841641783714294,
1797
+ "learning_rate": 5.761934871957003e-06,
1798
+ "loss": 0.0055,
1799
+ "step": 6300
1800
+ },
1801
+ {
1802
+ "epoch": 2.699530516431925,
1803
+ "grad_norm": 0.07419008761644363,
1804
+ "learning_rate": 5.56433765412583e-06,
1805
+ "loss": 0.1128,
1806
+ "step": 6325
1807
+ },
1808
+ {
1809
+ "epoch": 2.7102005975245413,
1810
+ "grad_norm": 0.0030936244875192642,
1811
+ "learning_rate": 5.366740436294658e-06,
1812
+ "loss": 0.0564,
1813
+ "step": 6350
1814
+ },
1815
+ {
1816
+ "epoch": 2.7208706786171577,
1817
+ "grad_norm": 0.003594167297706008,
1818
+ "learning_rate": 5.169143218463484e-06,
1819
+ "loss": 0.0928,
1820
+ "step": 6375
1821
+ },
1822
+ {
1823
+ "epoch": 2.731540759709774,
1824
+ "grad_norm": 0.03685923293232918,
1825
+ "learning_rate": 4.9715460006323115e-06,
1826
+ "loss": 0.0502,
1827
+ "step": 6400
1828
+ },
1829
+ {
1830
+ "epoch": 2.74221084080239,
1831
+ "grad_norm": 0.019324608147144318,
1832
+ "learning_rate": 4.7739487828011385e-06,
1833
+ "loss": 0.0204,
1834
+ "step": 6425
1835
+ },
1836
+ {
1837
+ "epoch": 2.7528809218950063,
1838
+ "grad_norm": 22.45241355895996,
1839
+ "learning_rate": 4.576351564969965e-06,
1840
+ "loss": 0.0867,
1841
+ "step": 6450
1842
+ },
1843
+ {
1844
+ "epoch": 2.7635510029876227,
1845
+ "grad_norm": 0.14366178214550018,
1846
+ "learning_rate": 4.378754347138792e-06,
1847
+ "loss": 0.0366,
1848
+ "step": 6475
1849
+ },
1850
+ {
1851
+ "epoch": 2.774221084080239,
1852
+ "grad_norm": 1.7778751850128174,
1853
+ "learning_rate": 4.181157129307619e-06,
1854
+ "loss": 0.097,
1855
+ "step": 6500
1856
+ },
1857
+ {
1858
+ "epoch": 2.7848911651728554,
1859
+ "grad_norm": 4.860283851623535,
1860
+ "learning_rate": 3.983559911476446e-06,
1861
+ "loss": 0.0884,
1862
+ "step": 6525
1863
+ },
1864
+ {
1865
+ "epoch": 2.7955612462654718,
1866
+ "grad_norm": 0.00165728444699198,
1867
+ "learning_rate": 3.785962693645274e-06,
1868
+ "loss": 0.0195,
1869
+ "step": 6550
1870
+ },
1871
+ {
1872
+ "epoch": 2.8062313273580877,
1873
+ "grad_norm": 0.03730342909693718,
1874
+ "learning_rate": 3.5883654758141003e-06,
1875
+ "loss": 0.0412,
1876
+ "step": 6575
1877
+ },
1878
+ {
1879
+ "epoch": 2.816901408450704,
1880
+ "grad_norm": 0.0034714387729763985,
1881
+ "learning_rate": 3.3907682579829277e-06,
1882
+ "loss": 0.0714,
1883
+ "step": 6600
1884
+ },
1885
+ {
1886
+ "epoch": 2.8275714895433204,
1887
+ "grad_norm": 0.06972959637641907,
1888
+ "learning_rate": 3.1931710401517546e-06,
1889
+ "loss": 0.0082,
1890
+ "step": 6625
1891
+ },
1892
+ {
1893
+ "epoch": 2.8382415706359367,
1894
+ "grad_norm": 0.022793615236878395,
1895
+ "learning_rate": 2.995573822320582e-06,
1896
+ "loss": 0.0705,
1897
+ "step": 6650
1898
+ },
1899
+ {
1900
+ "epoch": 2.848911651728553,
1901
+ "grad_norm": 0.05906020104885101,
1902
+ "learning_rate": 2.797976604489409e-06,
1903
+ "loss": 0.0435,
1904
+ "step": 6675
1905
+ },
1906
+ {
1907
+ "epoch": 2.8595817328211695,
1908
+ "grad_norm": 0.012936658225953579,
1909
+ "learning_rate": 2.600379386658236e-06,
1910
+ "loss": 0.0852,
1911
+ "step": 6700
1912
+ },
1913
+ {
1914
+ "epoch": 2.870251813913786,
1915
+ "grad_norm": 0.004626471549272537,
1916
+ "learning_rate": 2.402782168827063e-06,
1917
+ "loss": 0.03,
1918
+ "step": 6725
1919
+ },
1920
+ {
1921
+ "epoch": 2.880921895006402,
1922
+ "grad_norm": 0.08372853696346283,
1923
+ "learning_rate": 2.20518495099589e-06,
1924
+ "loss": 0.0152,
1925
+ "step": 6750
1926
+ },
1927
+ {
1928
+ "epoch": 2.8915919760990185,
1929
+ "grad_norm": 1.3282454013824463,
1930
+ "learning_rate": 2.0075877331647173e-06,
1931
+ "loss": 0.0816,
1932
+ "step": 6775
1933
+ },
1934
+ {
1935
+ "epoch": 2.902262057191635,
1936
+ "grad_norm": 3.8434557914733887,
1937
+ "learning_rate": 1.8099905153335442e-06,
1938
+ "loss": 0.05,
1939
+ "step": 6800
1940
+ },
1941
+ {
1942
+ "epoch": 2.9129321382842512,
1943
+ "grad_norm": 0.008098805323243141,
1944
+ "learning_rate": 1.6123932975023712e-06,
1945
+ "loss": 0.0347,
1946
+ "step": 6825
1947
+ },
1948
+ {
1949
+ "epoch": 2.923602219376867,
1950
+ "grad_norm": 0.0022435523569583893,
1951
+ "learning_rate": 1.4147960796711983e-06,
1952
+ "loss": 0.0214,
1953
+ "step": 6850
1954
+ },
1955
+ {
1956
+ "epoch": 2.9342723004694835,
1957
+ "grad_norm": 7.002129554748535,
1958
+ "learning_rate": 1.2171988618400254e-06,
1959
+ "loss": 0.0121,
1960
+ "step": 6875
1961
+ },
1962
+ {
1963
+ "epoch": 2.9449423815621,
1964
+ "grad_norm": 0.11791983246803284,
1965
+ "learning_rate": 1.0196016440088523e-06,
1966
+ "loss": 0.1015,
1967
+ "step": 6900
1968
+ },
1969
+ {
1970
+ "epoch": 2.955612462654716,
1971
+ "grad_norm": 0.0031008380465209484,
1972
+ "learning_rate": 8.220044261776794e-07,
1973
+ "loss": 0.0016,
1974
+ "step": 6925
1975
+ },
1976
+ {
1977
+ "epoch": 2.9662825437473326,
1978
+ "grad_norm": 0.00397999444976449,
1979
+ "learning_rate": 6.244072083465065e-07,
1980
+ "loss": 0.0238,
1981
+ "step": 6950
1982
+ },
1983
+ {
1984
+ "epoch": 2.976952624839949,
1985
+ "grad_norm": 0.14921312034130096,
1986
+ "learning_rate": 4.2680999051533353e-07,
1987
+ "loss": 0.0147,
1988
+ "step": 6975
1989
+ },
1990
+ {
1991
+ "epoch": 2.987622705932565,
1992
+ "grad_norm": 0.005675365682691336,
1993
+ "learning_rate": 2.2921277268416063e-07,
1994
+ "loss": 0.0175,
1995
+ "step": 7000
1996
+ },
1997
+ {
1998
+ "epoch": 2.998292787025181,
1999
+ "grad_norm": 0.009994860738515854,
2000
+ "learning_rate": 3.1615554852987675e-08,
2001
+ "loss": 0.0694,
2002
+ "step": 7025
2003
+ },
2004
+ {
2005
+ "epoch": 3.0,
2006
+ "eval_accuracy": 0.9961579509071505,
2007
+ "eval_auc": 0.9994886327395326,
2008
+ "eval_f1": 0.9961538461538462,
2009
+ "eval_loss": 0.0158307533711195,
2010
+ "eval_precision": 0.9940298507462687,
2011
+ "eval_recall": 0.9982869379014989,
2012
+ "eval_runtime": 1329.756,
2013
+ "eval_samples_per_second": 3.523,
2014
+ "eval_steps_per_second": 0.22,
2015
+ "step": 7029
2016
+ }
2017
+ ],
2018
+ "logging_steps": 25,
2019
+ "max_steps": 7029,
2020
+ "num_input_tokens_seen": 0,
2021
+ "num_train_epochs": 3,
2022
+ "save_steps": 500,
2023
+ "stateful_callbacks": {
2024
+ "EarlyStoppingCallback": {
2025
+ "args": {
2026
+ "early_stopping_patience": 5,
2027
+ "early_stopping_threshold": 0.01
2028
+ },
2029
+ "attributes": {
2030
+ "early_stopping_patience_counter": 0
2031
+ }
2032
+ },
2033
+ "TrainerControl": {
2034
+ "args": {
2035
+ "should_epoch_stop": false,
2036
+ "should_evaluate": false,
2037
+ "should_log": false,
2038
+ "should_save": true,
2039
+ "should_training_stop": true
2040
+ },
2041
+ "attributes": {}
2042
+ }
2043
+ },
2044
+ "total_flos": 4.355902228225831e+18,
2045
+ "train_batch_size": 8,
2046
+ "trial_name": null,
2047
+ "trial_params": null
2048
+ }
checkpoint-7029/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a662cb1b8424c7697385438632e076ac211cd4a2f771733a58f0b62740b3dfd4
3
+ size 5240
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "ViTForImageClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.0,
8
+ "encoder_stride": 16,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.0,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "Cat",
14
+ "1": "Dog"
15
+ },
16
+ "image_size": 224,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "Cat": 0,
21
+ "Dog": 1
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "model_type": "vit",
25
+ "num_attention_heads": 12,
26
+ "num_channels": 3,
27
+ "num_hidden_layers": 12,
28
+ "patch_size": 16,
29
+ "problem_type": "single_label_classification",
30
+ "qkv_bias": true,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.44.2"
33
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dee3eed218313e8ff29b584802246af13c768a49b4c314f646c4fa450b081f8d
3
+ size 343223968
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
+ }
runs/Sep24_16-03-26_r-pandalori-autotrain-cats-and-dogs-8cfe05bk-8ef12-7ju5g/events.out.tfevents.1727193808.r-pandalori-autotrain-cats-and-dogs-8cfe05bk-8ef12-7ju5g.207.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9b8fe10a6f733bb104504d62b036f8f67d0af5a6a8e6f78c95ea790026edd16f
3
- size 64431
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a210962bd98f4f7f9b809fbeef5897cb3aecdbbe48c10640bbc470cab29968f
3
+ size 66148
runs/Sep24_16-03-26_r-pandalori-autotrain-cats-and-dogs-8cfe05bk-8ef12-7ju5g/events.out.tfevents.1727249929.r-pandalori-autotrain-cats-and-dogs-8cfe05bk-8ef12-7ju5g.207.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46d02389d22e10b07145a8199dc76a8d90bd471571df0068b3c72494345043ef
3
+ size 607
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a662cb1b8424c7697385438632e076ac211cd4a2f771733a58f0b62740b3dfd4
3
+ size 5240
training_params.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "autotrain-ltphq-1aue6/autotrain-data",
3
+ "model": "google/vit-base-patch16-224",
4
+ "username": "pandalori",
5
+ "lr": 5e-05,
6
+ "epochs": 3,
7
+ "batch_size": 8,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "logging_steps": -1,
18
+ "project_name": "autotrain-ltphq-1aue6",
19
+ "auto_find_batch_size": false,
20
+ "mixed_precision": "fp16",
21
+ "save_total_limit": 1,
22
+ "push_to_hub": true,
23
+ "eval_strategy": "epoch",
24
+ "image_column": "autotrain_image",
25
+ "target_column": "autotrain_label",
26
+ "log": "tensorboard",
27
+ "early_stopping_patience": 5,
28
+ "early_stopping_threshold": 0.01
29
+ }