dima806 commited on
Commit
b5274ae
1 Parent(s): ed4ae1f

Upload folder using huggingface_hub

Browse files
checkpoint-6150/config.json ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "GREY HAIRSTREAK",
13
+ "1": "COMMON BANDED AWL",
14
+ "2": "CHESTNUT",
15
+ "3": "EASTERN DAPPLE WHITE",
16
+ "4": "COMMON WOOD-NYMPH",
17
+ "5": "CLEOPATRA",
18
+ "6": "ELBOWED PIERROT",
19
+ "7": "MILBERTS TORTOISESHELL",
20
+ "8": "PEACOCK",
21
+ "9": "MALACHITE",
22
+ "10": "RED ADMIRAL",
23
+ "11": "INDRA SWALLOW",
24
+ "12": "MOURNING CLOAK",
25
+ "13": "CRECENT",
26
+ "14": "AN 88",
27
+ "15": "BECKERS WHITE",
28
+ "16": "ATALA",
29
+ "17": "PURPLISH COPPER",
30
+ "18": "SILVER SPOT SKIPPER",
31
+ "19": "ZEBRA LONG WING",
32
+ "20": "RED POSTMAN",
33
+ "21": "TROPICAL LEAFWING",
34
+ "22": "JULIA",
35
+ "23": "DANAID EGGFLY",
36
+ "24": "AMERICAN SNOOT",
37
+ "25": "BANDED ORANGE HELICONIAN",
38
+ "26": "ULYSES",
39
+ "27": "LARGE MARBLE",
40
+ "28": "RED SPOTTED PURPLE",
41
+ "29": "EASTERN PINE ELFIN",
42
+ "30": "ADONIS",
43
+ "31": "CLOUDED SULPHUR",
44
+ "32": "CABBAGE WHITE",
45
+ "33": "BLUE SPOTTED CROW",
46
+ "34": "GOLD BANDED",
47
+ "35": "VICEROY",
48
+ "36": "MANGROVE SKIPPER",
49
+ "37": "MESTRA",
50
+ "38": "CAIRNS BIRDWING",
51
+ "39": "BLACK HAIRSTREAK",
52
+ "40": "PAPER KITE",
53
+ "41": "ORCHARD SWALLOW",
54
+ "42": "ORANGE OAKLEAF",
55
+ "43": "PIPEVINE SWALLOW",
56
+ "44": "SCARCE SWALLOW",
57
+ "45": "PURPLE HAIRSTREAK",
58
+ "46": "PAINTED LADY",
59
+ "47": "EASTERN COMA",
60
+ "48": "CHECQUERED SKIPPER",
61
+ "49": "SOUTHERN DOGFACE",
62
+ "50": "CRIMSON PATCH",
63
+ "51": "YELLOW SWALLOW TAIL",
64
+ "52": "POPINJAY",
65
+ "53": "BLUE MORPHO",
66
+ "54": "COPPER TAIL",
67
+ "55": "BROWN SIPROETA",
68
+ "56": "GREEN CELLED CATTLEHEART",
69
+ "57": "PINE WHITE",
70
+ "58": "WOOD SATYR",
71
+ "59": "QUESTION MARK",
72
+ "60": "RED CRACKER",
73
+ "61": "ORANGE TIP",
74
+ "62": "SLEEPY ORANGE",
75
+ "63": "AFRICAN GIANT SWALLOWTAIL",
76
+ "64": "BANDED PEACOCK",
77
+ "65": "GREAT EGGFLY",
78
+ "66": "SOOTYWING",
79
+ "67": "IPHICLUS SISTER",
80
+ "68": "TWO BARRED FLASHER",
81
+ "69": "CLODIUS PARNASSIAN",
82
+ "70": "APPOLLO",
83
+ "71": "MONARCH",
84
+ "72": "STRAITED QUEEN",
85
+ "73": "METALMARK",
86
+ "74": "GREAT JAY"
87
+ },
88
+ "image_size": 224,
89
+ "initializer_range": 0.02,
90
+ "intermediate_size": 3072,
91
+ "label2id": {
92
+ "ADONIS": 30,
93
+ "AFRICAN GIANT SWALLOWTAIL": 63,
94
+ "AMERICAN SNOOT": 24,
95
+ "AN 88": 14,
96
+ "APPOLLO": 70,
97
+ "ATALA": 16,
98
+ "BANDED ORANGE HELICONIAN": 25,
99
+ "BANDED PEACOCK": 64,
100
+ "BECKERS WHITE": 15,
101
+ "BLACK HAIRSTREAK": 39,
102
+ "BLUE MORPHO": 53,
103
+ "BLUE SPOTTED CROW": 33,
104
+ "BROWN SIPROETA": 55,
105
+ "CABBAGE WHITE": 32,
106
+ "CAIRNS BIRDWING": 38,
107
+ "CHECQUERED SKIPPER": 48,
108
+ "CHESTNUT": 2,
109
+ "CLEOPATRA": 5,
110
+ "CLODIUS PARNASSIAN": 69,
111
+ "CLOUDED SULPHUR": 31,
112
+ "COMMON BANDED AWL": 1,
113
+ "COMMON WOOD-NYMPH": 4,
114
+ "COPPER TAIL": 54,
115
+ "CRECENT": 13,
116
+ "CRIMSON PATCH": 50,
117
+ "DANAID EGGFLY": 23,
118
+ "EASTERN COMA": 47,
119
+ "EASTERN DAPPLE WHITE": 3,
120
+ "EASTERN PINE ELFIN": 29,
121
+ "ELBOWED PIERROT": 6,
122
+ "GOLD BANDED": 34,
123
+ "GREAT EGGFLY": 65,
124
+ "GREAT JAY": 74,
125
+ "GREEN CELLED CATTLEHEART": 56,
126
+ "GREY HAIRSTREAK": 0,
127
+ "INDRA SWALLOW": 11,
128
+ "IPHICLUS SISTER": 67,
129
+ "JULIA": 22,
130
+ "LARGE MARBLE": 27,
131
+ "MALACHITE": 9,
132
+ "MANGROVE SKIPPER": 36,
133
+ "MESTRA": 37,
134
+ "METALMARK": 73,
135
+ "MILBERTS TORTOISESHELL": 7,
136
+ "MONARCH": 71,
137
+ "MOURNING CLOAK": 12,
138
+ "ORANGE OAKLEAF": 42,
139
+ "ORANGE TIP": 61,
140
+ "ORCHARD SWALLOW": 41,
141
+ "PAINTED LADY": 46,
142
+ "PAPER KITE": 40,
143
+ "PEACOCK": 8,
144
+ "PINE WHITE": 57,
145
+ "PIPEVINE SWALLOW": 43,
146
+ "POPINJAY": 52,
147
+ "PURPLE HAIRSTREAK": 45,
148
+ "PURPLISH COPPER": 17,
149
+ "QUESTION MARK": 59,
150
+ "RED ADMIRAL": 10,
151
+ "RED CRACKER": 60,
152
+ "RED POSTMAN": 20,
153
+ "RED SPOTTED PURPLE": 28,
154
+ "SCARCE SWALLOW": 44,
155
+ "SILVER SPOT SKIPPER": 18,
156
+ "SLEEPY ORANGE": 62,
157
+ "SOOTYWING": 66,
158
+ "SOUTHERN DOGFACE": 49,
159
+ "STRAITED QUEEN": 72,
160
+ "TROPICAL LEAFWING": 21,
161
+ "TWO BARRED FLASHER": 68,
162
+ "ULYSES": 26,
163
+ "VICEROY": 35,
164
+ "WOOD SATYR": 58,
165
+ "YELLOW SWALLOW TAIL": 51,
166
+ "ZEBRA LONG WING": 19
167
+ },
168
+ "layer_norm_eps": 1e-12,
169
+ "model_type": "vit",
170
+ "num_attention_heads": 12,
171
+ "num_channels": 3,
172
+ "num_hidden_layers": 12,
173
+ "patch_size": 16,
174
+ "problem_type": "single_label_classification",
175
+ "qkv_bias": true,
176
+ "torch_dtype": "float32",
177
+ "transformers_version": "4.34.1"
178
+ }
checkpoint-6150/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e02f27d54df954b9486780556b4b588df07a2b672c93beee212b36677219a6a1
3
+ size 687017477
checkpoint-6150/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
+ }
checkpoint-6150/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fbf582b2fec3b644314bf25c6e5df63c9927db2c267852eebc565c383962660
3
+ size 343493229
checkpoint-6150/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a1c0973528e48523d41d85505ad7e5c93f583a3c9b7b895526331830aded15e2
3
+ size 14575
checkpoint-6150/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4478f1068224c27b5817b4078332f3d242a170294fcfd48077d12b5e332f7853
3
+ size 627
checkpoint-6150/trainer_state.json ADDED
@@ -0,0 +1,541 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.3654530048370361,
3
+ "best_model_checkpoint": "75_butterfly_types_image_detection/checkpoint-6150",
4
+ "epoch": 50.0,
5
+ "eval_steps": 500,
6
+ "global_step": 6150,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.10483460559796437,
14
+ "eval_loss": 4.219280242919922,
15
+ "eval_runtime": 16.1158,
16
+ "eval_samples_per_second": 121.93,
17
+ "eval_steps_per_second": 3.847,
18
+ "step": 123
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.416793893129771,
23
+ "eval_loss": 4.0515265464782715,
24
+ "eval_runtime": 16.031,
25
+ "eval_samples_per_second": 122.575,
26
+ "eval_steps_per_second": 3.868,
27
+ "step": 246
28
+ },
29
+ {
30
+ "epoch": 3.0,
31
+ "eval_accuracy": 0.6743002544529262,
32
+ "eval_loss": 3.868370532989502,
33
+ "eval_runtime": 16.1588,
34
+ "eval_samples_per_second": 121.605,
35
+ "eval_steps_per_second": 3.837,
36
+ "step": 369
37
+ },
38
+ {
39
+ "epoch": 4.0,
40
+ "eval_accuracy": 0.7791348600508906,
41
+ "eval_loss": 3.682469129562378,
42
+ "eval_runtime": 16.1954,
43
+ "eval_samples_per_second": 121.331,
44
+ "eval_steps_per_second": 3.828,
45
+ "step": 492
46
+ },
47
+ {
48
+ "epoch": 4.07,
49
+ "learning_rate": 4.631147540983607e-06,
50
+ "loss": 4.0027,
51
+ "step": 500
52
+ },
53
+ {
54
+ "epoch": 5.0,
55
+ "eval_accuracy": 0.8213740458015267,
56
+ "eval_loss": 3.506803035736084,
57
+ "eval_runtime": 16.0347,
58
+ "eval_samples_per_second": 122.546,
59
+ "eval_steps_per_second": 3.867,
60
+ "step": 615
61
+ },
62
+ {
63
+ "epoch": 6.0,
64
+ "eval_accuracy": 0.8396946564885496,
65
+ "eval_loss": 3.344095468521118,
66
+ "eval_runtime": 16.3499,
67
+ "eval_samples_per_second": 120.184,
68
+ "eval_steps_per_second": 3.792,
69
+ "step": 738
70
+ },
71
+ {
72
+ "epoch": 7.0,
73
+ "eval_accuracy": 0.8569974554707379,
74
+ "eval_loss": 3.1964809894561768,
75
+ "eval_runtime": 16.1751,
76
+ "eval_samples_per_second": 121.483,
77
+ "eval_steps_per_second": 3.833,
78
+ "step": 861
79
+ },
80
+ {
81
+ "epoch": 8.0,
82
+ "eval_accuracy": 0.8661577608142493,
83
+ "eval_loss": 3.0642857551574707,
84
+ "eval_runtime": 16.1962,
85
+ "eval_samples_per_second": 121.325,
86
+ "eval_steps_per_second": 3.828,
87
+ "step": 984
88
+ },
89
+ {
90
+ "epoch": 8.13,
91
+ "learning_rate": 4.221311475409837e-06,
92
+ "loss": 3.2743,
93
+ "step": 1000
94
+ },
95
+ {
96
+ "epoch": 9.0,
97
+ "eval_accuracy": 0.8743002544529263,
98
+ "eval_loss": 2.9428579807281494,
99
+ "eval_runtime": 16.3097,
100
+ "eval_samples_per_second": 120.48,
101
+ "eval_steps_per_second": 3.801,
102
+ "step": 1107
103
+ },
104
+ {
105
+ "epoch": 10.0,
106
+ "eval_accuracy": 0.8844783715012723,
107
+ "eval_loss": 2.832017183303833,
108
+ "eval_runtime": 16.1405,
109
+ "eval_samples_per_second": 121.743,
110
+ "eval_steps_per_second": 3.841,
111
+ "step": 1230
112
+ },
113
+ {
114
+ "epoch": 11.0,
115
+ "eval_accuracy": 0.8875318066157761,
116
+ "eval_loss": 2.7307262420654297,
117
+ "eval_runtime": 16.6796,
118
+ "eval_samples_per_second": 117.808,
119
+ "eval_steps_per_second": 3.717,
120
+ "step": 1353
121
+ },
122
+ {
123
+ "epoch": 12.0,
124
+ "eval_accuracy": 0.8941475826972011,
125
+ "eval_loss": 2.635011911392212,
126
+ "eval_runtime": 16.1864,
127
+ "eval_samples_per_second": 121.398,
128
+ "eval_steps_per_second": 3.83,
129
+ "step": 1476
130
+ },
131
+ {
132
+ "epoch": 12.2,
133
+ "learning_rate": 3.811475409836066e-06,
134
+ "loss": 2.7379,
135
+ "step": 1500
136
+ },
137
+ {
138
+ "epoch": 13.0,
139
+ "eval_accuracy": 0.9012722646310433,
140
+ "eval_loss": 2.54408597946167,
141
+ "eval_runtime": 16.1725,
142
+ "eval_samples_per_second": 121.503,
143
+ "eval_steps_per_second": 3.834,
144
+ "step": 1599
145
+ },
146
+ {
147
+ "epoch": 14.0,
148
+ "eval_accuracy": 0.9038167938931297,
149
+ "eval_loss": 2.461076259613037,
150
+ "eval_runtime": 16.188,
151
+ "eval_samples_per_second": 121.386,
152
+ "eval_steps_per_second": 3.83,
153
+ "step": 1722
154
+ },
155
+ {
156
+ "epoch": 15.0,
157
+ "eval_accuracy": 0.905852417302799,
158
+ "eval_loss": 2.3826189041137695,
159
+ "eval_runtime": 16.0942,
160
+ "eval_samples_per_second": 122.094,
161
+ "eval_steps_per_second": 3.852,
162
+ "step": 1845
163
+ },
164
+ {
165
+ "epoch": 16.0,
166
+ "eval_accuracy": 0.9104325699745547,
167
+ "eval_loss": 2.3125312328338623,
168
+ "eval_runtime": 16.0801,
169
+ "eval_samples_per_second": 122.201,
170
+ "eval_steps_per_second": 3.856,
171
+ "step": 1968
172
+ },
173
+ {
174
+ "epoch": 16.26,
175
+ "learning_rate": 3.4016393442622954e-06,
176
+ "loss": 2.3551,
177
+ "step": 2000
178
+ },
179
+ {
180
+ "epoch": 17.0,
181
+ "eval_accuracy": 0.9150127226463104,
182
+ "eval_loss": 2.2421457767486572,
183
+ "eval_runtime": 16.1647,
184
+ "eval_samples_per_second": 121.561,
185
+ "eval_steps_per_second": 3.836,
186
+ "step": 2091
187
+ },
188
+ {
189
+ "epoch": 18.0,
190
+ "eval_accuracy": 0.9180661577608142,
191
+ "eval_loss": 2.177084445953369,
192
+ "eval_runtime": 16.1219,
193
+ "eval_samples_per_second": 121.884,
194
+ "eval_steps_per_second": 3.846,
195
+ "step": 2214
196
+ },
197
+ {
198
+ "epoch": 19.0,
199
+ "eval_accuracy": 0.9185750636132316,
200
+ "eval_loss": 2.118427038192749,
201
+ "eval_runtime": 16.2975,
202
+ "eval_samples_per_second": 120.571,
203
+ "eval_steps_per_second": 3.804,
204
+ "step": 2337
205
+ },
206
+ {
207
+ "epoch": 20.0,
208
+ "eval_accuracy": 0.9206106870229007,
209
+ "eval_loss": 2.0600903034210205,
210
+ "eval_runtime": 16.1374,
211
+ "eval_samples_per_second": 121.767,
212
+ "eval_steps_per_second": 3.842,
213
+ "step": 2460
214
+ },
215
+ {
216
+ "epoch": 20.33,
217
+ "learning_rate": 2.991803278688525e-06,
218
+ "loss": 2.0646,
219
+ "step": 2500
220
+ },
221
+ {
222
+ "epoch": 21.0,
223
+ "eval_accuracy": 0.9231552162849873,
224
+ "eval_loss": 2.0077874660491943,
225
+ "eval_runtime": 16.1894,
226
+ "eval_samples_per_second": 121.376,
227
+ "eval_steps_per_second": 3.83,
228
+ "step": 2583
229
+ },
230
+ {
231
+ "epoch": 22.0,
232
+ "eval_accuracy": 0.9246819338422392,
233
+ "eval_loss": 1.9560858011245728,
234
+ "eval_runtime": 16.2039,
235
+ "eval_samples_per_second": 121.267,
236
+ "eval_steps_per_second": 3.826,
237
+ "step": 2706
238
+ },
239
+ {
240
+ "epoch": 23.0,
241
+ "eval_accuracy": 0.9246819338422392,
242
+ "eval_loss": 1.9086360931396484,
243
+ "eval_runtime": 16.1264,
244
+ "eval_samples_per_second": 121.85,
245
+ "eval_steps_per_second": 3.845,
246
+ "step": 2829
247
+ },
248
+ {
249
+ "epoch": 24.0,
250
+ "eval_accuracy": 0.9272264631043257,
251
+ "eval_loss": 1.8643087148666382,
252
+ "eval_runtime": 16.2238,
253
+ "eval_samples_per_second": 121.118,
254
+ "eval_steps_per_second": 3.822,
255
+ "step": 2952
256
+ },
257
+ {
258
+ "epoch": 24.39,
259
+ "learning_rate": 2.5819672131147543e-06,
260
+ "loss": 1.8362,
261
+ "step": 3000
262
+ },
263
+ {
264
+ "epoch": 25.0,
265
+ "eval_accuracy": 0.9292620865139949,
266
+ "eval_loss": 1.8223220109939575,
267
+ "eval_runtime": 16.1769,
268
+ "eval_samples_per_second": 121.47,
269
+ "eval_steps_per_second": 3.833,
270
+ "step": 3075
271
+ },
272
+ {
273
+ "epoch": 26.0,
274
+ "eval_accuracy": 0.9323155216284987,
275
+ "eval_loss": 1.781746745109558,
276
+ "eval_runtime": 16.1733,
277
+ "eval_samples_per_second": 121.496,
278
+ "eval_steps_per_second": 3.833,
279
+ "step": 3198
280
+ },
281
+ {
282
+ "epoch": 27.0,
283
+ "eval_accuracy": 0.932824427480916,
284
+ "eval_loss": 1.7436439990997314,
285
+ "eval_runtime": 16.25,
286
+ "eval_samples_per_second": 120.923,
287
+ "eval_steps_per_second": 3.815,
288
+ "step": 3321
289
+ },
290
+ {
291
+ "epoch": 28.0,
292
+ "eval_accuracy": 0.9333333333333333,
293
+ "eval_loss": 1.7096657752990723,
294
+ "eval_runtime": 16.2645,
295
+ "eval_samples_per_second": 120.815,
296
+ "eval_steps_per_second": 3.812,
297
+ "step": 3444
298
+ },
299
+ {
300
+ "epoch": 28.46,
301
+ "learning_rate": 2.1721311475409838e-06,
302
+ "loss": 1.6594,
303
+ "step": 3500
304
+ },
305
+ {
306
+ "epoch": 29.0,
307
+ "eval_accuracy": 0.934351145038168,
308
+ "eval_loss": 1.6767544746398926,
309
+ "eval_runtime": 16.0446,
310
+ "eval_samples_per_second": 122.471,
311
+ "eval_steps_per_second": 3.864,
312
+ "step": 3567
313
+ },
314
+ {
315
+ "epoch": 30.0,
316
+ "eval_accuracy": 0.9363867684478372,
317
+ "eval_loss": 1.6452341079711914,
318
+ "eval_runtime": 16.2929,
319
+ "eval_samples_per_second": 120.605,
320
+ "eval_steps_per_second": 3.805,
321
+ "step": 3690
322
+ },
323
+ {
324
+ "epoch": 31.0,
325
+ "eval_accuracy": 0.9368956743002544,
326
+ "eval_loss": 1.6171735525131226,
327
+ "eval_runtime": 16.1612,
328
+ "eval_samples_per_second": 121.587,
329
+ "eval_steps_per_second": 3.836,
330
+ "step": 3813
331
+ },
332
+ {
333
+ "epoch": 32.0,
334
+ "eval_accuracy": 0.9394402035623409,
335
+ "eval_loss": 1.5884838104248047,
336
+ "eval_runtime": 16.0285,
337
+ "eval_samples_per_second": 122.594,
338
+ "eval_steps_per_second": 3.868,
339
+ "step": 3936
340
+ },
341
+ {
342
+ "epoch": 32.52,
343
+ "learning_rate": 1.7622950819672133e-06,
344
+ "loss": 1.5202,
345
+ "step": 4000
346
+ },
347
+ {
348
+ "epoch": 33.0,
349
+ "eval_accuracy": 0.9399491094147583,
350
+ "eval_loss": 1.5642931461334229,
351
+ "eval_runtime": 16.0014,
352
+ "eval_samples_per_second": 122.801,
353
+ "eval_steps_per_second": 3.875,
354
+ "step": 4059
355
+ },
356
+ {
357
+ "epoch": 34.0,
358
+ "eval_accuracy": 0.9379134860050891,
359
+ "eval_loss": 1.5411930084228516,
360
+ "eval_runtime": 16.0783,
361
+ "eval_samples_per_second": 122.214,
362
+ "eval_steps_per_second": 3.856,
363
+ "step": 4182
364
+ },
365
+ {
366
+ "epoch": 35.0,
367
+ "eval_accuracy": 0.9409669211195929,
368
+ "eval_loss": 1.518629789352417,
369
+ "eval_runtime": 16.0126,
370
+ "eval_samples_per_second": 122.716,
371
+ "eval_steps_per_second": 3.872,
372
+ "step": 4305
373
+ },
374
+ {
375
+ "epoch": 36.0,
376
+ "eval_accuracy": 0.9419847328244275,
377
+ "eval_loss": 1.4979873895645142,
378
+ "eval_runtime": 16.1815,
379
+ "eval_samples_per_second": 121.435,
380
+ "eval_steps_per_second": 3.832,
381
+ "step": 4428
382
+ },
383
+ {
384
+ "epoch": 36.59,
385
+ "learning_rate": 1.352459016393443e-06,
386
+ "loss": 1.4134,
387
+ "step": 4500
388
+ },
389
+ {
390
+ "epoch": 37.0,
391
+ "eval_accuracy": 0.9424936386768448,
392
+ "eval_loss": 1.4799128770828247,
393
+ "eval_runtime": 16.1592,
394
+ "eval_samples_per_second": 121.603,
395
+ "eval_steps_per_second": 3.837,
396
+ "step": 4551
397
+ },
398
+ {
399
+ "epoch": 38.0,
400
+ "eval_accuracy": 0.944529262086514,
401
+ "eval_loss": 1.462226390838623,
402
+ "eval_runtime": 16.17,
403
+ "eval_samples_per_second": 121.522,
404
+ "eval_steps_per_second": 3.834,
405
+ "step": 4674
406
+ },
407
+ {
408
+ "epoch": 39.0,
409
+ "eval_accuracy": 0.9435114503816794,
410
+ "eval_loss": 1.4462333917617798,
411
+ "eval_runtime": 16.3661,
412
+ "eval_samples_per_second": 120.065,
413
+ "eval_steps_per_second": 3.788,
414
+ "step": 4797
415
+ },
416
+ {
417
+ "epoch": 40.0,
418
+ "eval_accuracy": 0.9435114503816794,
419
+ "eval_loss": 1.432714581489563,
420
+ "eval_runtime": 16.2167,
421
+ "eval_samples_per_second": 121.171,
422
+ "eval_steps_per_second": 3.823,
423
+ "step": 4920
424
+ },
425
+ {
426
+ "epoch": 40.65,
427
+ "learning_rate": 9.426229508196721e-07,
428
+ "loss": 1.3371,
429
+ "step": 5000
430
+ },
431
+ {
432
+ "epoch": 41.0,
433
+ "eval_accuracy": 0.9435114503816794,
434
+ "eval_loss": 1.4191633462905884,
435
+ "eval_runtime": 16.352,
436
+ "eval_samples_per_second": 120.169,
437
+ "eval_steps_per_second": 3.792,
438
+ "step": 5043
439
+ },
440
+ {
441
+ "epoch": 42.0,
442
+ "eval_accuracy": 0.944529262086514,
443
+ "eval_loss": 1.4076900482177734,
444
+ "eval_runtime": 16.453,
445
+ "eval_samples_per_second": 119.431,
446
+ "eval_steps_per_second": 3.768,
447
+ "step": 5166
448
+ },
449
+ {
450
+ "epoch": 43.0,
451
+ "eval_accuracy": 0.9450381679389313,
452
+ "eval_loss": 1.3978630304336548,
453
+ "eval_runtime": 16.2004,
454
+ "eval_samples_per_second": 121.293,
455
+ "eval_steps_per_second": 3.827,
456
+ "step": 5289
457
+ },
458
+ {
459
+ "epoch": 44.0,
460
+ "eval_accuracy": 0.9455470737913486,
461
+ "eval_loss": 1.3894777297973633,
462
+ "eval_runtime": 16.3005,
463
+ "eval_samples_per_second": 120.549,
464
+ "eval_steps_per_second": 3.804,
465
+ "step": 5412
466
+ },
467
+ {
468
+ "epoch": 44.72,
469
+ "learning_rate": 5.327868852459017e-07,
470
+ "loss": 1.2847,
471
+ "step": 5500
472
+ },
473
+ {
474
+ "epoch": 45.0,
475
+ "eval_accuracy": 0.9455470737913486,
476
+ "eval_loss": 1.3816895484924316,
477
+ "eval_runtime": 16.1887,
478
+ "eval_samples_per_second": 121.381,
479
+ "eval_steps_per_second": 3.83,
480
+ "step": 5535
481
+ },
482
+ {
483
+ "epoch": 46.0,
484
+ "eval_accuracy": 0.9455470737913486,
485
+ "eval_loss": 1.376446008682251,
486
+ "eval_runtime": 16.3897,
487
+ "eval_samples_per_second": 119.893,
488
+ "eval_steps_per_second": 3.783,
489
+ "step": 5658
490
+ },
491
+ {
492
+ "epoch": 47.0,
493
+ "eval_accuracy": 0.9455470737913486,
494
+ "eval_loss": 1.3714139461517334,
495
+ "eval_runtime": 16.2429,
496
+ "eval_samples_per_second": 120.976,
497
+ "eval_steps_per_second": 3.817,
498
+ "step": 5781
499
+ },
500
+ {
501
+ "epoch": 48.0,
502
+ "eval_accuracy": 0.9455470737913486,
503
+ "eval_loss": 1.3681418895721436,
504
+ "eval_runtime": 16.2361,
505
+ "eval_samples_per_second": 121.027,
506
+ "eval_steps_per_second": 3.819,
507
+ "step": 5904
508
+ },
509
+ {
510
+ "epoch": 48.78,
511
+ "learning_rate": 1.2295081967213116e-07,
512
+ "loss": 1.2536,
513
+ "step": 6000
514
+ },
515
+ {
516
+ "epoch": 49.0,
517
+ "eval_accuracy": 0.9455470737913486,
518
+ "eval_loss": 1.3659467697143555,
519
+ "eval_runtime": 16.2019,
520
+ "eval_samples_per_second": 121.282,
521
+ "eval_steps_per_second": 3.827,
522
+ "step": 6027
523
+ },
524
+ {
525
+ "epoch": 50.0,
526
+ "eval_accuracy": 0.9455470737913486,
527
+ "eval_loss": 1.3654530048370361,
528
+ "eval_runtime": 16.2047,
529
+ "eval_samples_per_second": 121.261,
530
+ "eval_steps_per_second": 3.826,
531
+ "step": 6150
532
+ }
533
+ ],
534
+ "logging_steps": 500,
535
+ "max_steps": 6150,
536
+ "num_train_epochs": 50,
537
+ "save_steps": 500,
538
+ "total_flos": 3.0474277467346944e+19,
539
+ "trial_name": null,
540
+ "trial_params": null
541
+ }
checkpoint-6150/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f185a3f769c8912b658bed68daa6af27295c7c6bbca3d9ea9e2a1a15421ff394
3
+ size 4027
config.json ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "GREY HAIRSTREAK",
13
+ "1": "COMMON BANDED AWL",
14
+ "2": "CHESTNUT",
15
+ "3": "EASTERN DAPPLE WHITE",
16
+ "4": "COMMON WOOD-NYMPH",
17
+ "5": "CLEOPATRA",
18
+ "6": "ELBOWED PIERROT",
19
+ "7": "MILBERTS TORTOISESHELL",
20
+ "8": "PEACOCK",
21
+ "9": "MALACHITE",
22
+ "10": "RED ADMIRAL",
23
+ "11": "INDRA SWALLOW",
24
+ "12": "MOURNING CLOAK",
25
+ "13": "CRECENT",
26
+ "14": "AN 88",
27
+ "15": "BECKERS WHITE",
28
+ "16": "ATALA",
29
+ "17": "PURPLISH COPPER",
30
+ "18": "SILVER SPOT SKIPPER",
31
+ "19": "ZEBRA LONG WING",
32
+ "20": "RED POSTMAN",
33
+ "21": "TROPICAL LEAFWING",
34
+ "22": "JULIA",
35
+ "23": "DANAID EGGFLY",
36
+ "24": "AMERICAN SNOOT",
37
+ "25": "BANDED ORANGE HELICONIAN",
38
+ "26": "ULYSES",
39
+ "27": "LARGE MARBLE",
40
+ "28": "RED SPOTTED PURPLE",
41
+ "29": "EASTERN PINE ELFIN",
42
+ "30": "ADONIS",
43
+ "31": "CLOUDED SULPHUR",
44
+ "32": "CABBAGE WHITE",
45
+ "33": "BLUE SPOTTED CROW",
46
+ "34": "GOLD BANDED",
47
+ "35": "VICEROY",
48
+ "36": "MANGROVE SKIPPER",
49
+ "37": "MESTRA",
50
+ "38": "CAIRNS BIRDWING",
51
+ "39": "BLACK HAIRSTREAK",
52
+ "40": "PAPER KITE",
53
+ "41": "ORCHARD SWALLOW",
54
+ "42": "ORANGE OAKLEAF",
55
+ "43": "PIPEVINE SWALLOW",
56
+ "44": "SCARCE SWALLOW",
57
+ "45": "PURPLE HAIRSTREAK",
58
+ "46": "PAINTED LADY",
59
+ "47": "EASTERN COMA",
60
+ "48": "CHECQUERED SKIPPER",
61
+ "49": "SOUTHERN DOGFACE",
62
+ "50": "CRIMSON PATCH",
63
+ "51": "YELLOW SWALLOW TAIL",
64
+ "52": "POPINJAY",
65
+ "53": "BLUE MORPHO",
66
+ "54": "COPPER TAIL",
67
+ "55": "BROWN SIPROETA",
68
+ "56": "GREEN CELLED CATTLEHEART",
69
+ "57": "PINE WHITE",
70
+ "58": "WOOD SATYR",
71
+ "59": "QUESTION MARK",
72
+ "60": "RED CRACKER",
73
+ "61": "ORANGE TIP",
74
+ "62": "SLEEPY ORANGE",
75
+ "63": "AFRICAN GIANT SWALLOWTAIL",
76
+ "64": "BANDED PEACOCK",
77
+ "65": "GREAT EGGFLY",
78
+ "66": "SOOTYWING",
79
+ "67": "IPHICLUS SISTER",
80
+ "68": "TWO BARRED FLASHER",
81
+ "69": "CLODIUS PARNASSIAN",
82
+ "70": "APPOLLO",
83
+ "71": "MONARCH",
84
+ "72": "STRAITED QUEEN",
85
+ "73": "METALMARK",
86
+ "74": "GREAT JAY"
87
+ },
88
+ "image_size": 224,
89
+ "initializer_range": 0.02,
90
+ "intermediate_size": 3072,
91
+ "label2id": {
92
+ "ADONIS": 30,
93
+ "AFRICAN GIANT SWALLOWTAIL": 63,
94
+ "AMERICAN SNOOT": 24,
95
+ "AN 88": 14,
96
+ "APPOLLO": 70,
97
+ "ATALA": 16,
98
+ "BANDED ORANGE HELICONIAN": 25,
99
+ "BANDED PEACOCK": 64,
100
+ "BECKERS WHITE": 15,
101
+ "BLACK HAIRSTREAK": 39,
102
+ "BLUE MORPHO": 53,
103
+ "BLUE SPOTTED CROW": 33,
104
+ "BROWN SIPROETA": 55,
105
+ "CABBAGE WHITE": 32,
106
+ "CAIRNS BIRDWING": 38,
107
+ "CHECQUERED SKIPPER": 48,
108
+ "CHESTNUT": 2,
109
+ "CLEOPATRA": 5,
110
+ "CLODIUS PARNASSIAN": 69,
111
+ "CLOUDED SULPHUR": 31,
112
+ "COMMON BANDED AWL": 1,
113
+ "COMMON WOOD-NYMPH": 4,
114
+ "COPPER TAIL": 54,
115
+ "CRECENT": 13,
116
+ "CRIMSON PATCH": 50,
117
+ "DANAID EGGFLY": 23,
118
+ "EASTERN COMA": 47,
119
+ "EASTERN DAPPLE WHITE": 3,
120
+ "EASTERN PINE ELFIN": 29,
121
+ "ELBOWED PIERROT": 6,
122
+ "GOLD BANDED": 34,
123
+ "GREAT EGGFLY": 65,
124
+ "GREAT JAY": 74,
125
+ "GREEN CELLED CATTLEHEART": 56,
126
+ "GREY HAIRSTREAK": 0,
127
+ "INDRA SWALLOW": 11,
128
+ "IPHICLUS SISTER": 67,
129
+ "JULIA": 22,
130
+ "LARGE MARBLE": 27,
131
+ "MALACHITE": 9,
132
+ "MANGROVE SKIPPER": 36,
133
+ "MESTRA": 37,
134
+ "METALMARK": 73,
135
+ "MILBERTS TORTOISESHELL": 7,
136
+ "MONARCH": 71,
137
+ "MOURNING CLOAK": 12,
138
+ "ORANGE OAKLEAF": 42,
139
+ "ORANGE TIP": 61,
140
+ "ORCHARD SWALLOW": 41,
141
+ "PAINTED LADY": 46,
142
+ "PAPER KITE": 40,
143
+ "PEACOCK": 8,
144
+ "PINE WHITE": 57,
145
+ "PIPEVINE SWALLOW": 43,
146
+ "POPINJAY": 52,
147
+ "PURPLE HAIRSTREAK": 45,
148
+ "PURPLISH COPPER": 17,
149
+ "QUESTION MARK": 59,
150
+ "RED ADMIRAL": 10,
151
+ "RED CRACKER": 60,
152
+ "RED POSTMAN": 20,
153
+ "RED SPOTTED PURPLE": 28,
154
+ "SCARCE SWALLOW": 44,
155
+ "SILVER SPOT SKIPPER": 18,
156
+ "SLEEPY ORANGE": 62,
157
+ "SOOTYWING": 66,
158
+ "SOUTHERN DOGFACE": 49,
159
+ "STRAITED QUEEN": 72,
160
+ "TROPICAL LEAFWING": 21,
161
+ "TWO BARRED FLASHER": 68,
162
+ "ULYSES": 26,
163
+ "VICEROY": 35,
164
+ "WOOD SATYR": 58,
165
+ "YELLOW SWALLOW TAIL": 51,
166
+ "ZEBRA LONG WING": 19
167
+ },
168
+ "layer_norm_eps": 1e-12,
169
+ "model_type": "vit",
170
+ "num_attention_heads": 12,
171
+ "num_channels": 3,
172
+ "num_hidden_layers": 12,
173
+ "patch_size": 16,
174
+ "problem_type": "single_label_classification",
175
+ "qkv_bias": true,
176
+ "torch_dtype": "float32",
177
+ "transformers_version": "4.34.1"
178
+ }
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
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fbf582b2fec3b644314bf25c6e5df63c9927db2c267852eebc565c383962660
3
+ size 343493229
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f185a3f769c8912b658bed68daa6af27295c7c6bbca3d9ea9e2a1a15421ff394
3
+ size 4027