dima806 commited on
Commit
4b0ad19
1 Parent(s): f38af98

Upload folder using huggingface_hub

Browse files
checkpoint-8350/config.json ADDED
@@ -0,0 +1,328 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "Wartortle",
13
+ "1": "Arcanine",
14
+ "2": "Staryu",
15
+ "3": "Arbok",
16
+ "4": "Butterfree",
17
+ "5": "Geodude",
18
+ "6": "Seaking",
19
+ "7": "Diglett",
20
+ "8": "Jynx",
21
+ "9": "Sandslash",
22
+ "10": "Magneton",
23
+ "11": "Scyther",
24
+ "12": "Kabuto",
25
+ "13": "Cubone",
26
+ "14": "Golem",
27
+ "15": "Dewgong",
28
+ "16": "Pidgey",
29
+ "17": "Kadabra",
30
+ "18": "Ditto",
31
+ "19": "Venomoth",
32
+ "20": "Rattata",
33
+ "21": "Alakazam",
34
+ "22": "Machoke",
35
+ "23": "Farfetchd",
36
+ "24": "Omastar",
37
+ "25": "Machamp",
38
+ "26": "Jigglypuff",
39
+ "27": "Dragonite",
40
+ "28": "Weepinbell",
41
+ "29": "Sandshrew",
42
+ "30": "Dugtrio",
43
+ "31": "Mankey",
44
+ "32": "Hitmonchan",
45
+ "33": "Spearow",
46
+ "34": "Caterpie",
47
+ "35": "Dratini",
48
+ "36": "Bulbasaur",
49
+ "37": "Tentacool",
50
+ "38": "Gengar",
51
+ "39": "Machop",
52
+ "40": "Raichu",
53
+ "41": "Alolan Sandslash",
54
+ "42": "Eevee",
55
+ "43": "Abra",
56
+ "44": "Haunter",
57
+ "45": "Metapod",
58
+ "46": "Fearow",
59
+ "47": "Nidorina",
60
+ "48": "Zapdos",
61
+ "49": "Ninetales",
62
+ "50": "Chansey",
63
+ "51": "Kangaskhan",
64
+ "52": "Poliwrath",
65
+ "53": "Gyarados",
66
+ "54": "Charmeleon",
67
+ "55": "Vulpix",
68
+ "56": "Pidgeot",
69
+ "57": "Blastoise",
70
+ "58": "Porygon",
71
+ "59": "Psyduck",
72
+ "60": "Dragonair",
73
+ "61": "Raticate",
74
+ "62": "Squirtle",
75
+ "63": "Charizard",
76
+ "64": "Electrode",
77
+ "65": "Flareon",
78
+ "66": "Exeggutor",
79
+ "67": "Pikachu",
80
+ "68": "Wigglytuff",
81
+ "69": "Venusaur",
82
+ "70": "Mewtwo",
83
+ "71": "Clefable",
84
+ "72": "Oddish",
85
+ "73": "Ekans",
86
+ "74": "Shellder",
87
+ "75": "Marowak",
88
+ "76": "Kakuna",
89
+ "77": "Rapidash",
90
+ "78": "Rhydon",
91
+ "79": "Ivysaur",
92
+ "80": "Slowpoke",
93
+ "81": "Lapras",
94
+ "82": "Clefairy",
95
+ "83": "Hitmonlee",
96
+ "84": "Jolteon",
97
+ "85": "Growlithe",
98
+ "86": "Gastly",
99
+ "87": "Aerodactyl",
100
+ "88": "Weedle",
101
+ "89": "Tauros",
102
+ "90": "Seel",
103
+ "91": "Zubat",
104
+ "92": "Meowth",
105
+ "93": "Persian",
106
+ "94": "Articuno",
107
+ "95": "Weezing",
108
+ "96": "Magnemite",
109
+ "97": "Omanyte",
110
+ "98": "Mew",
111
+ "99": "Vileplume",
112
+ "100": "Nidoqueen",
113
+ "101": "Vaporeon",
114
+ "102": "Ponyta",
115
+ "103": "Moltres",
116
+ "104": "Voltorb",
117
+ "105": "Magikarp",
118
+ "106": "Beedrill",
119
+ "107": "Nidoking",
120
+ "108": "Paras",
121
+ "109": "Grimer",
122
+ "110": "Dodrio",
123
+ "111": "Charmander",
124
+ "112": "Muk",
125
+ "113": "Primeape",
126
+ "114": "Victreebel",
127
+ "115": "Golbat",
128
+ "116": "Horsea",
129
+ "117": "Goldeen",
130
+ "118": "Pidgeotto",
131
+ "119": "Koffing",
132
+ "120": "Seadra",
133
+ "121": "Tentacruel",
134
+ "122": "Pinsir",
135
+ "123": "Cloyster",
136
+ "124": "Gloom",
137
+ "125": "Graveler",
138
+ "126": "Magmar",
139
+ "127": "Krabby",
140
+ "128": "Electabuzz",
141
+ "129": "Poliwhirl",
142
+ "130": "Golduck",
143
+ "131": "Onix",
144
+ "132": "Nidorino",
145
+ "133": "Snorlax",
146
+ "134": "Starmie",
147
+ "135": "Slowbro",
148
+ "136": "MrMime",
149
+ "137": "Venonat",
150
+ "138": "Kabutops",
151
+ "139": "Drowzee",
152
+ "140": "Rhyhorn",
153
+ "141": "Tangela",
154
+ "142": "Doduo",
155
+ "143": "Exeggcute",
156
+ "144": "Poliwag",
157
+ "145": "Lickitung",
158
+ "146": "Hypno",
159
+ "147": "Bellsprout",
160
+ "148": "Parasect",
161
+ "149": "Kingler"
162
+ },
163
+ "image_size": 224,
164
+ "initializer_range": 0.02,
165
+ "intermediate_size": 3072,
166
+ "label2id": {
167
+ "Abra": 43,
168
+ "Aerodactyl": 87,
169
+ "Alakazam": 21,
170
+ "Alolan Sandslash": 41,
171
+ "Arbok": 3,
172
+ "Arcanine": 1,
173
+ "Articuno": 94,
174
+ "Beedrill": 106,
175
+ "Bellsprout": 147,
176
+ "Blastoise": 57,
177
+ "Bulbasaur": 36,
178
+ "Butterfree": 4,
179
+ "Caterpie": 34,
180
+ "Chansey": 50,
181
+ "Charizard": 63,
182
+ "Charmander": 111,
183
+ "Charmeleon": 54,
184
+ "Clefable": 71,
185
+ "Clefairy": 82,
186
+ "Cloyster": 123,
187
+ "Cubone": 13,
188
+ "Dewgong": 15,
189
+ "Diglett": 7,
190
+ "Ditto": 18,
191
+ "Dodrio": 110,
192
+ "Doduo": 142,
193
+ "Dragonair": 60,
194
+ "Dragonite": 27,
195
+ "Dratini": 35,
196
+ "Drowzee": 139,
197
+ "Dugtrio": 30,
198
+ "Eevee": 42,
199
+ "Ekans": 73,
200
+ "Electabuzz": 128,
201
+ "Electrode": 64,
202
+ "Exeggcute": 143,
203
+ "Exeggutor": 66,
204
+ "Farfetchd": 23,
205
+ "Fearow": 46,
206
+ "Flareon": 65,
207
+ "Gastly": 86,
208
+ "Gengar": 38,
209
+ "Geodude": 5,
210
+ "Gloom": 124,
211
+ "Golbat": 115,
212
+ "Goldeen": 117,
213
+ "Golduck": 130,
214
+ "Golem": 14,
215
+ "Graveler": 125,
216
+ "Grimer": 109,
217
+ "Growlithe": 85,
218
+ "Gyarados": 53,
219
+ "Haunter": 44,
220
+ "Hitmonchan": 32,
221
+ "Hitmonlee": 83,
222
+ "Horsea": 116,
223
+ "Hypno": 146,
224
+ "Ivysaur": 79,
225
+ "Jigglypuff": 26,
226
+ "Jolteon": 84,
227
+ "Jynx": 8,
228
+ "Kabuto": 12,
229
+ "Kabutops": 138,
230
+ "Kadabra": 17,
231
+ "Kakuna": 76,
232
+ "Kangaskhan": 51,
233
+ "Kingler": 149,
234
+ "Koffing": 119,
235
+ "Krabby": 127,
236
+ "Lapras": 81,
237
+ "Lickitung": 145,
238
+ "Machamp": 25,
239
+ "Machoke": 22,
240
+ "Machop": 39,
241
+ "Magikarp": 105,
242
+ "Magmar": 126,
243
+ "Magnemite": 96,
244
+ "Magneton": 10,
245
+ "Mankey": 31,
246
+ "Marowak": 75,
247
+ "Meowth": 92,
248
+ "Metapod": 45,
249
+ "Mew": 98,
250
+ "Mewtwo": 70,
251
+ "Moltres": 103,
252
+ "MrMime": 136,
253
+ "Muk": 112,
254
+ "Nidoking": 107,
255
+ "Nidoqueen": 100,
256
+ "Nidorina": 47,
257
+ "Nidorino": 132,
258
+ "Ninetales": 49,
259
+ "Oddish": 72,
260
+ "Omanyte": 97,
261
+ "Omastar": 24,
262
+ "Onix": 131,
263
+ "Paras": 108,
264
+ "Parasect": 148,
265
+ "Persian": 93,
266
+ "Pidgeot": 56,
267
+ "Pidgeotto": 118,
268
+ "Pidgey": 16,
269
+ "Pikachu": 67,
270
+ "Pinsir": 122,
271
+ "Poliwag": 144,
272
+ "Poliwhirl": 129,
273
+ "Poliwrath": 52,
274
+ "Ponyta": 102,
275
+ "Porygon": 58,
276
+ "Primeape": 113,
277
+ "Psyduck": 59,
278
+ "Raichu": 40,
279
+ "Rapidash": 77,
280
+ "Raticate": 61,
281
+ "Rattata": 20,
282
+ "Rhydon": 78,
283
+ "Rhyhorn": 140,
284
+ "Sandshrew": 29,
285
+ "Sandslash": 9,
286
+ "Scyther": 11,
287
+ "Seadra": 120,
288
+ "Seaking": 6,
289
+ "Seel": 90,
290
+ "Shellder": 74,
291
+ "Slowbro": 135,
292
+ "Slowpoke": 80,
293
+ "Snorlax": 133,
294
+ "Spearow": 33,
295
+ "Squirtle": 62,
296
+ "Starmie": 134,
297
+ "Staryu": 2,
298
+ "Tangela": 141,
299
+ "Tauros": 89,
300
+ "Tentacool": 37,
301
+ "Tentacruel": 121,
302
+ "Vaporeon": 101,
303
+ "Venomoth": 19,
304
+ "Venonat": 137,
305
+ "Venusaur": 69,
306
+ "Victreebel": 114,
307
+ "Vileplume": 99,
308
+ "Voltorb": 104,
309
+ "Vulpix": 55,
310
+ "Wartortle": 0,
311
+ "Weedle": 88,
312
+ "Weepinbell": 28,
313
+ "Weezing": 95,
314
+ "Wigglytuff": 68,
315
+ "Zapdos": 48,
316
+ "Zubat": 91
317
+ },
318
+ "layer_norm_eps": 1e-12,
319
+ "model_type": "vit",
320
+ "num_attention_heads": 12,
321
+ "num_channels": 3,
322
+ "num_hidden_layers": 12,
323
+ "patch_size": 16,
324
+ "problem_type": "single_label_classification",
325
+ "qkv_bias": true,
326
+ "torch_dtype": "float32",
327
+ "transformers_version": "4.33.3"
328
+ }
checkpoint-8350/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8a1d2404a17ae252060e3853b256eecfe3c6031be038e143b2846c6fbb2564d
3
+ size 687478917
checkpoint-8350/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-8350/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:166fd43cd4ac4cece9cc575d2e5b577ac4847e37587460ae977d6c92d330a757
3
+ size 343723949
checkpoint-8350/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e330c276261d94e9e70be7fd6abea191918d208f0fd21f7a24e994fc5b4fd3fe
3
+ size 14575
checkpoint-8350/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:01387345dafa04a4a81fb69f0c0afcf466c7bacf46198aac1e466406c180c987
3
+ size 627
checkpoint-8350/trainer_state.json ADDED
@@ -0,0 +1,565 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0297563076019287,
3
+ "best_model_checkpoint": "pokemon_types_image_detection/checkpoint-8350",
4
+ "epoch": 50.0,
5
+ "eval_steps": 500,
6
+ "global_step": 8350,
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": 0.06616541353383458,
14
+ "eval_loss": 4.913679122924805,
15
+ "eval_runtime": 17.1752,
16
+ "eval_samples_per_second": 77.437,
17
+ "eval_steps_per_second": 9.723,
18
+ "step": 167
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.3090225563909774,
23
+ "eval_loss": 4.762322902679443,
24
+ "eval_runtime": 18.0222,
25
+ "eval_samples_per_second": 73.798,
26
+ "eval_steps_per_second": 9.266,
27
+ "step": 334
28
+ },
29
+ {
30
+ "epoch": 2.99,
31
+ "learning_rate": 9.457831325301205e-06,
32
+ "loss": 4.8044,
33
+ "step": 500
34
+ },
35
+ {
36
+ "epoch": 3.0,
37
+ "eval_accuracy": 0.562406015037594,
38
+ "eval_loss": 4.578239440917969,
39
+ "eval_runtime": 17.9833,
40
+ "eval_samples_per_second": 73.957,
41
+ "eval_steps_per_second": 9.286,
42
+ "step": 501
43
+ },
44
+ {
45
+ "epoch": 4.0,
46
+ "eval_accuracy": 0.7180451127819549,
47
+ "eval_loss": 4.36922025680542,
48
+ "eval_runtime": 17.5366,
49
+ "eval_samples_per_second": 75.842,
50
+ "eval_steps_per_second": 9.523,
51
+ "step": 668
52
+ },
53
+ {
54
+ "epoch": 5.0,
55
+ "eval_accuracy": 0.8285714285714286,
56
+ "eval_loss": 4.163111209869385,
57
+ "eval_runtime": 17.4507,
58
+ "eval_samples_per_second": 76.215,
59
+ "eval_steps_per_second": 9.57,
60
+ "step": 835
61
+ },
62
+ {
63
+ "epoch": 5.99,
64
+ "learning_rate": 8.855421686746989e-06,
65
+ "loss": 4.1907,
66
+ "step": 1000
67
+ },
68
+ {
69
+ "epoch": 6.0,
70
+ "eval_accuracy": 0.856390977443609,
71
+ "eval_loss": 3.971830129623413,
72
+ "eval_runtime": 17.1602,
73
+ "eval_samples_per_second": 77.505,
74
+ "eval_steps_per_second": 9.732,
75
+ "step": 1002
76
+ },
77
+ {
78
+ "epoch": 7.0,
79
+ "eval_accuracy": 0.8827067669172932,
80
+ "eval_loss": 3.7871174812316895,
81
+ "eval_runtime": 17.4448,
82
+ "eval_samples_per_second": 76.241,
83
+ "eval_steps_per_second": 9.573,
84
+ "step": 1169
85
+ },
86
+ {
87
+ "epoch": 8.0,
88
+ "eval_accuracy": 0.9030075187969925,
89
+ "eval_loss": 3.613436222076416,
90
+ "eval_runtime": 17.2789,
91
+ "eval_samples_per_second": 76.973,
92
+ "eval_steps_per_second": 9.665,
93
+ "step": 1336
94
+ },
95
+ {
96
+ "epoch": 8.98,
97
+ "learning_rate": 8.253012048192773e-06,
98
+ "loss": 3.5887,
99
+ "step": 1500
100
+ },
101
+ {
102
+ "epoch": 9.0,
103
+ "eval_accuracy": 0.9142857142857143,
104
+ "eval_loss": 3.453962802886963,
105
+ "eval_runtime": 16.8987,
106
+ "eval_samples_per_second": 78.704,
107
+ "eval_steps_per_second": 9.882,
108
+ "step": 1503
109
+ },
110
+ {
111
+ "epoch": 10.0,
112
+ "eval_accuracy": 0.924812030075188,
113
+ "eval_loss": 3.299895763397217,
114
+ "eval_runtime": 16.7986,
115
+ "eval_samples_per_second": 79.173,
116
+ "eval_steps_per_second": 9.941,
117
+ "step": 1670
118
+ },
119
+ {
120
+ "epoch": 11.0,
121
+ "eval_accuracy": 0.9345864661654135,
122
+ "eval_loss": 3.156660795211792,
123
+ "eval_runtime": 16.7869,
124
+ "eval_samples_per_second": 79.228,
125
+ "eval_steps_per_second": 9.948,
126
+ "step": 1837
127
+ },
128
+ {
129
+ "epoch": 11.98,
130
+ "learning_rate": 7.650602409638555e-06,
131
+ "loss": 3.0841,
132
+ "step": 2000
133
+ },
134
+ {
135
+ "epoch": 12.0,
136
+ "eval_accuracy": 0.937593984962406,
137
+ "eval_loss": 3.020425319671631,
138
+ "eval_runtime": 16.7815,
139
+ "eval_samples_per_second": 79.254,
140
+ "eval_steps_per_second": 9.951,
141
+ "step": 2004
142
+ },
143
+ {
144
+ "epoch": 13.0,
145
+ "eval_accuracy": 0.9421052631578948,
146
+ "eval_loss": 2.8917837142944336,
147
+ "eval_runtime": 16.9633,
148
+ "eval_samples_per_second": 78.405,
149
+ "eval_steps_per_second": 9.845,
150
+ "step": 2171
151
+ },
152
+ {
153
+ "epoch": 14.0,
154
+ "eval_accuracy": 0.943609022556391,
155
+ "eval_loss": 2.7655045986175537,
156
+ "eval_runtime": 17.3813,
157
+ "eval_samples_per_second": 76.519,
158
+ "eval_steps_per_second": 9.608,
159
+ "step": 2338
160
+ },
161
+ {
162
+ "epoch": 14.97,
163
+ "learning_rate": 7.048192771084338e-06,
164
+ "loss": 2.6523,
165
+ "step": 2500
166
+ },
167
+ {
168
+ "epoch": 15.0,
169
+ "eval_accuracy": 0.9488721804511279,
170
+ "eval_loss": 2.6490113735198975,
171
+ "eval_runtime": 17.1632,
172
+ "eval_samples_per_second": 77.491,
173
+ "eval_steps_per_second": 9.73,
174
+ "step": 2505
175
+ },
176
+ {
177
+ "epoch": 16.0,
178
+ "eval_accuracy": 0.9503759398496241,
179
+ "eval_loss": 2.5374104976654053,
180
+ "eval_runtime": 17.1217,
181
+ "eval_samples_per_second": 77.679,
182
+ "eval_steps_per_second": 9.754,
183
+ "step": 2672
184
+ },
185
+ {
186
+ "epoch": 17.0,
187
+ "eval_accuracy": 0.9533834586466166,
188
+ "eval_loss": 2.431523084640503,
189
+ "eval_runtime": 17.2715,
190
+ "eval_samples_per_second": 77.005,
191
+ "eval_steps_per_second": 9.669,
192
+ "step": 2839
193
+ },
194
+ {
195
+ "epoch": 17.96,
196
+ "learning_rate": 6.445783132530121e-06,
197
+ "loss": 2.2791,
198
+ "step": 3000
199
+ },
200
+ {
201
+ "epoch": 18.0,
202
+ "eval_accuracy": 0.9533834586466166,
203
+ "eval_loss": 2.3305835723876953,
204
+ "eval_runtime": 17.1667,
205
+ "eval_samples_per_second": 77.476,
206
+ "eval_steps_per_second": 9.728,
207
+ "step": 3006
208
+ },
209
+ {
210
+ "epoch": 19.0,
211
+ "eval_accuracy": 0.9548872180451128,
212
+ "eval_loss": 2.232471466064453,
213
+ "eval_runtime": 17.2703,
214
+ "eval_samples_per_second": 77.011,
215
+ "eval_steps_per_second": 9.67,
216
+ "step": 3173
217
+ },
218
+ {
219
+ "epoch": 20.0,
220
+ "eval_accuracy": 0.9541353383458646,
221
+ "eval_loss": 2.1426422595977783,
222
+ "eval_runtime": 17.61,
223
+ "eval_samples_per_second": 75.525,
224
+ "eval_steps_per_second": 9.483,
225
+ "step": 3340
226
+ },
227
+ {
228
+ "epoch": 20.96,
229
+ "learning_rate": 5.843373493975905e-06,
230
+ "loss": 1.9581,
231
+ "step": 3500
232
+ },
233
+ {
234
+ "epoch": 21.0,
235
+ "eval_accuracy": 0.9571428571428572,
236
+ "eval_loss": 2.056194543838501,
237
+ "eval_runtime": 16.9422,
238
+ "eval_samples_per_second": 78.502,
239
+ "eval_steps_per_second": 9.857,
240
+ "step": 3507
241
+ },
242
+ {
243
+ "epoch": 22.0,
244
+ "eval_accuracy": 0.956390977443609,
245
+ "eval_loss": 1.9756702184677124,
246
+ "eval_runtime": 16.9704,
247
+ "eval_samples_per_second": 78.372,
248
+ "eval_steps_per_second": 9.841,
249
+ "step": 3674
250
+ },
251
+ {
252
+ "epoch": 23.0,
253
+ "eval_accuracy": 0.9571428571428572,
254
+ "eval_loss": 1.8963149785995483,
255
+ "eval_runtime": 16.7265,
256
+ "eval_samples_per_second": 79.515,
257
+ "eval_steps_per_second": 9.984,
258
+ "step": 3841
259
+ },
260
+ {
261
+ "epoch": 23.95,
262
+ "learning_rate": 5.240963855421687e-06,
263
+ "loss": 1.6869,
264
+ "step": 4000
265
+ },
266
+ {
267
+ "epoch": 24.0,
268
+ "eval_accuracy": 0.9593984962406015,
269
+ "eval_loss": 1.8221393823623657,
270
+ "eval_runtime": 16.7647,
271
+ "eval_samples_per_second": 79.333,
272
+ "eval_steps_per_second": 9.961,
273
+ "step": 4008
274
+ },
275
+ {
276
+ "epoch": 25.0,
277
+ "eval_accuracy": 0.9586466165413534,
278
+ "eval_loss": 1.7550489902496338,
279
+ "eval_runtime": 16.9054,
280
+ "eval_samples_per_second": 78.673,
281
+ "eval_steps_per_second": 9.879,
282
+ "step": 4175
283
+ },
284
+ {
285
+ "epoch": 26.0,
286
+ "eval_accuracy": 0.9609022556390977,
287
+ "eval_loss": 1.689659595489502,
288
+ "eval_runtime": 16.9823,
289
+ "eval_samples_per_second": 78.317,
290
+ "eval_steps_per_second": 9.834,
291
+ "step": 4342
292
+ },
293
+ {
294
+ "epoch": 26.95,
295
+ "learning_rate": 4.63855421686747e-06,
296
+ "loss": 1.4554,
297
+ "step": 4500
298
+ },
299
+ {
300
+ "epoch": 27.0,
301
+ "eval_accuracy": 0.9609022556390977,
302
+ "eval_loss": 1.6294366121292114,
303
+ "eval_runtime": 17.4283,
304
+ "eval_samples_per_second": 76.313,
305
+ "eval_steps_per_second": 9.582,
306
+ "step": 4509
307
+ },
308
+ {
309
+ "epoch": 28.0,
310
+ "eval_accuracy": 0.9609022556390977,
311
+ "eval_loss": 1.5733779668807983,
312
+ "eval_runtime": 17.3167,
313
+ "eval_samples_per_second": 76.805,
314
+ "eval_steps_per_second": 9.644,
315
+ "step": 4676
316
+ },
317
+ {
318
+ "epoch": 29.0,
319
+ "eval_accuracy": 0.9593984962406015,
320
+ "eval_loss": 1.5163401365280151,
321
+ "eval_runtime": 17.2582,
322
+ "eval_samples_per_second": 77.065,
323
+ "eval_steps_per_second": 9.677,
324
+ "step": 4843
325
+ },
326
+ {
327
+ "epoch": 29.94,
328
+ "learning_rate": 4.036144578313254e-06,
329
+ "loss": 1.2697,
330
+ "step": 5000
331
+ },
332
+ {
333
+ "epoch": 30.0,
334
+ "eval_accuracy": 0.9624060150375939,
335
+ "eval_loss": 1.4674514532089233,
336
+ "eval_runtime": 17.3678,
337
+ "eval_samples_per_second": 76.579,
338
+ "eval_steps_per_second": 9.616,
339
+ "step": 5010
340
+ },
341
+ {
342
+ "epoch": 31.0,
343
+ "eval_accuracy": 0.9624060150375939,
344
+ "eval_loss": 1.419551968574524,
345
+ "eval_runtime": 17.2763,
346
+ "eval_samples_per_second": 76.984,
347
+ "eval_steps_per_second": 9.666,
348
+ "step": 5177
349
+ },
350
+ {
351
+ "epoch": 32.0,
352
+ "eval_accuracy": 0.9624060150375939,
353
+ "eval_loss": 1.3748358488082886,
354
+ "eval_runtime": 17.3245,
355
+ "eval_samples_per_second": 76.77,
356
+ "eval_steps_per_second": 9.64,
357
+ "step": 5344
358
+ },
359
+ {
360
+ "epoch": 32.93,
361
+ "learning_rate": 3.4337349397590364e-06,
362
+ "loss": 1.1151,
363
+ "step": 5500
364
+ },
365
+ {
366
+ "epoch": 33.0,
367
+ "eval_accuracy": 0.9631578947368421,
368
+ "eval_loss": 1.3351458311080933,
369
+ "eval_runtime": 17.2177,
370
+ "eval_samples_per_second": 77.246,
371
+ "eval_steps_per_second": 9.699,
372
+ "step": 5511
373
+ },
374
+ {
375
+ "epoch": 34.0,
376
+ "eval_accuracy": 0.9639097744360903,
377
+ "eval_loss": 1.2986805438995361,
378
+ "eval_runtime": 16.7721,
379
+ "eval_samples_per_second": 79.299,
380
+ "eval_steps_per_second": 9.957,
381
+ "step": 5678
382
+ },
383
+ {
384
+ "epoch": 35.0,
385
+ "eval_accuracy": 0.9609022556390977,
386
+ "eval_loss": 1.2629300355911255,
387
+ "eval_runtime": 16.9981,
388
+ "eval_samples_per_second": 78.244,
389
+ "eval_steps_per_second": 9.825,
390
+ "step": 5845
391
+ },
392
+ {
393
+ "epoch": 35.93,
394
+ "learning_rate": 2.83132530120482e-06,
395
+ "loss": 0.9927,
396
+ "step": 6000
397
+ },
398
+ {
399
+ "epoch": 36.0,
400
+ "eval_accuracy": 0.9631578947368421,
401
+ "eval_loss": 1.2311846017837524,
402
+ "eval_runtime": 17.1178,
403
+ "eval_samples_per_second": 77.697,
404
+ "eval_steps_per_second": 9.756,
405
+ "step": 6012
406
+ },
407
+ {
408
+ "epoch": 37.0,
409
+ "eval_accuracy": 0.9631578947368421,
410
+ "eval_loss": 1.2015360593795776,
411
+ "eval_runtime": 16.8722,
412
+ "eval_samples_per_second": 78.828,
413
+ "eval_steps_per_second": 9.898,
414
+ "step": 6179
415
+ },
416
+ {
417
+ "epoch": 38.0,
418
+ "eval_accuracy": 0.9631578947368421,
419
+ "eval_loss": 1.174642562866211,
420
+ "eval_runtime": 16.9885,
421
+ "eval_samples_per_second": 78.288,
422
+ "eval_steps_per_second": 9.83,
423
+ "step": 6346
424
+ },
425
+ {
426
+ "epoch": 38.92,
427
+ "learning_rate": 2.2289156626506024e-06,
428
+ "loss": 0.8987,
429
+ "step": 6500
430
+ },
431
+ {
432
+ "epoch": 39.0,
433
+ "eval_accuracy": 0.9624060150375939,
434
+ "eval_loss": 1.1511969566345215,
435
+ "eval_runtime": 16.9611,
436
+ "eval_samples_per_second": 78.415,
437
+ "eval_steps_per_second": 9.846,
438
+ "step": 6513
439
+ },
440
+ {
441
+ "epoch": 40.0,
442
+ "eval_accuracy": 0.9631578947368421,
443
+ "eval_loss": 1.1287494897842407,
444
+ "eval_runtime": 17.1976,
445
+ "eval_samples_per_second": 77.336,
446
+ "eval_steps_per_second": 9.711,
447
+ "step": 6680
448
+ },
449
+ {
450
+ "epoch": 41.0,
451
+ "eval_accuracy": 0.9631578947368421,
452
+ "eval_loss": 1.1099363565444946,
453
+ "eval_runtime": 17.1353,
454
+ "eval_samples_per_second": 77.618,
455
+ "eval_steps_per_second": 9.746,
456
+ "step": 6847
457
+ },
458
+ {
459
+ "epoch": 41.92,
460
+ "learning_rate": 1.6265060240963856e-06,
461
+ "loss": 0.8287,
462
+ "step": 7000
463
+ },
464
+ {
465
+ "epoch": 42.0,
466
+ "eval_accuracy": 0.9631578947368421,
467
+ "eval_loss": 1.0933747291564941,
468
+ "eval_runtime": 17.1628,
469
+ "eval_samples_per_second": 77.493,
470
+ "eval_steps_per_second": 9.73,
471
+ "step": 7014
472
+ },
473
+ {
474
+ "epoch": 43.0,
475
+ "eval_accuracy": 0.9639097744360903,
476
+ "eval_loss": 1.078044056892395,
477
+ "eval_runtime": 17.3482,
478
+ "eval_samples_per_second": 76.665,
479
+ "eval_steps_per_second": 9.626,
480
+ "step": 7181
481
+ },
482
+ {
483
+ "epoch": 44.0,
484
+ "eval_accuracy": 0.9646616541353383,
485
+ "eval_loss": 1.06500244140625,
486
+ "eval_runtime": 17.2738,
487
+ "eval_samples_per_second": 76.995,
488
+ "eval_steps_per_second": 9.668,
489
+ "step": 7348
490
+ },
491
+ {
492
+ "epoch": 44.91,
493
+ "learning_rate": 1.0240963855421688e-06,
494
+ "loss": 0.7796,
495
+ "step": 7500
496
+ },
497
+ {
498
+ "epoch": 45.0,
499
+ "eval_accuracy": 0.9646616541353383,
500
+ "eval_loss": 1.0539588928222656,
501
+ "eval_runtime": 17.5661,
502
+ "eval_samples_per_second": 75.714,
503
+ "eval_steps_per_second": 9.507,
504
+ "step": 7515
505
+ },
506
+ {
507
+ "epoch": 46.0,
508
+ "eval_accuracy": 0.9639097744360903,
509
+ "eval_loss": 1.045282244682312,
510
+ "eval_runtime": 17.4501,
511
+ "eval_samples_per_second": 76.217,
512
+ "eval_steps_per_second": 9.57,
513
+ "step": 7682
514
+ },
515
+ {
516
+ "epoch": 47.0,
517
+ "eval_accuracy": 0.9646616541353383,
518
+ "eval_loss": 1.0384619235992432,
519
+ "eval_runtime": 17.119,
520
+ "eval_samples_per_second": 77.691,
521
+ "eval_steps_per_second": 9.755,
522
+ "step": 7849
523
+ },
524
+ {
525
+ "epoch": 47.9,
526
+ "learning_rate": 4.216867469879518e-07,
527
+ "loss": 0.7499,
528
+ "step": 8000
529
+ },
530
+ {
531
+ "epoch": 48.0,
532
+ "eval_accuracy": 0.9639097744360903,
533
+ "eval_loss": 1.0335502624511719,
534
+ "eval_runtime": 16.7365,
535
+ "eval_samples_per_second": 79.467,
536
+ "eval_steps_per_second": 9.978,
537
+ "step": 8016
538
+ },
539
+ {
540
+ "epoch": 49.0,
541
+ "eval_accuracy": 0.9646616541353383,
542
+ "eval_loss": 1.0308656692504883,
543
+ "eval_runtime": 16.8233,
544
+ "eval_samples_per_second": 79.057,
545
+ "eval_steps_per_second": 9.927,
546
+ "step": 8183
547
+ },
548
+ {
549
+ "epoch": 50.0,
550
+ "eval_accuracy": 0.9646616541353383,
551
+ "eval_loss": 1.0297563076019287,
552
+ "eval_runtime": 17.0044,
553
+ "eval_samples_per_second": 78.215,
554
+ "eval_steps_per_second": 9.821,
555
+ "step": 8350
556
+ }
557
+ ],
558
+ "logging_steps": 500,
559
+ "max_steps": 8350,
560
+ "num_train_epochs": 50,
561
+ "save_steps": 500,
562
+ "total_flos": 2.0632452260191027e+19,
563
+ "trial_name": null,
564
+ "trial_params": null
565
+ }
checkpoint-8350/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5eb2aa0893f36bd4bccb5cedd2df63d8fd8a20363e40239439d362401df751c6
3
+ size 4027
config.json ADDED
@@ -0,0 +1,328 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "Wartortle",
13
+ "1": "Arcanine",
14
+ "2": "Staryu",
15
+ "3": "Arbok",
16
+ "4": "Butterfree",
17
+ "5": "Geodude",
18
+ "6": "Seaking",
19
+ "7": "Diglett",
20
+ "8": "Jynx",
21
+ "9": "Sandslash",
22
+ "10": "Magneton",
23
+ "11": "Scyther",
24
+ "12": "Kabuto",
25
+ "13": "Cubone",
26
+ "14": "Golem",
27
+ "15": "Dewgong",
28
+ "16": "Pidgey",
29
+ "17": "Kadabra",
30
+ "18": "Ditto",
31
+ "19": "Venomoth",
32
+ "20": "Rattata",
33
+ "21": "Alakazam",
34
+ "22": "Machoke",
35
+ "23": "Farfetchd",
36
+ "24": "Omastar",
37
+ "25": "Machamp",
38
+ "26": "Jigglypuff",
39
+ "27": "Dragonite",
40
+ "28": "Weepinbell",
41
+ "29": "Sandshrew",
42
+ "30": "Dugtrio",
43
+ "31": "Mankey",
44
+ "32": "Hitmonchan",
45
+ "33": "Spearow",
46
+ "34": "Caterpie",
47
+ "35": "Dratini",
48
+ "36": "Bulbasaur",
49
+ "37": "Tentacool",
50
+ "38": "Gengar",
51
+ "39": "Machop",
52
+ "40": "Raichu",
53
+ "41": "Alolan Sandslash",
54
+ "42": "Eevee",
55
+ "43": "Abra",
56
+ "44": "Haunter",
57
+ "45": "Metapod",
58
+ "46": "Fearow",
59
+ "47": "Nidorina",
60
+ "48": "Zapdos",
61
+ "49": "Ninetales",
62
+ "50": "Chansey",
63
+ "51": "Kangaskhan",
64
+ "52": "Poliwrath",
65
+ "53": "Gyarados",
66
+ "54": "Charmeleon",
67
+ "55": "Vulpix",
68
+ "56": "Pidgeot",
69
+ "57": "Blastoise",
70
+ "58": "Porygon",
71
+ "59": "Psyduck",
72
+ "60": "Dragonair",
73
+ "61": "Raticate",
74
+ "62": "Squirtle",
75
+ "63": "Charizard",
76
+ "64": "Electrode",
77
+ "65": "Flareon",
78
+ "66": "Exeggutor",
79
+ "67": "Pikachu",
80
+ "68": "Wigglytuff",
81
+ "69": "Venusaur",
82
+ "70": "Mewtwo",
83
+ "71": "Clefable",
84
+ "72": "Oddish",
85
+ "73": "Ekans",
86
+ "74": "Shellder",
87
+ "75": "Marowak",
88
+ "76": "Kakuna",
89
+ "77": "Rapidash",
90
+ "78": "Rhydon",
91
+ "79": "Ivysaur",
92
+ "80": "Slowpoke",
93
+ "81": "Lapras",
94
+ "82": "Clefairy",
95
+ "83": "Hitmonlee",
96
+ "84": "Jolteon",
97
+ "85": "Growlithe",
98
+ "86": "Gastly",
99
+ "87": "Aerodactyl",
100
+ "88": "Weedle",
101
+ "89": "Tauros",
102
+ "90": "Seel",
103
+ "91": "Zubat",
104
+ "92": "Meowth",
105
+ "93": "Persian",
106
+ "94": "Articuno",
107
+ "95": "Weezing",
108
+ "96": "Magnemite",
109
+ "97": "Omanyte",
110
+ "98": "Mew",
111
+ "99": "Vileplume",
112
+ "100": "Nidoqueen",
113
+ "101": "Vaporeon",
114
+ "102": "Ponyta",
115
+ "103": "Moltres",
116
+ "104": "Voltorb",
117
+ "105": "Magikarp",
118
+ "106": "Beedrill",
119
+ "107": "Nidoking",
120
+ "108": "Paras",
121
+ "109": "Grimer",
122
+ "110": "Dodrio",
123
+ "111": "Charmander",
124
+ "112": "Muk",
125
+ "113": "Primeape",
126
+ "114": "Victreebel",
127
+ "115": "Golbat",
128
+ "116": "Horsea",
129
+ "117": "Goldeen",
130
+ "118": "Pidgeotto",
131
+ "119": "Koffing",
132
+ "120": "Seadra",
133
+ "121": "Tentacruel",
134
+ "122": "Pinsir",
135
+ "123": "Cloyster",
136
+ "124": "Gloom",
137
+ "125": "Graveler",
138
+ "126": "Magmar",
139
+ "127": "Krabby",
140
+ "128": "Electabuzz",
141
+ "129": "Poliwhirl",
142
+ "130": "Golduck",
143
+ "131": "Onix",
144
+ "132": "Nidorino",
145
+ "133": "Snorlax",
146
+ "134": "Starmie",
147
+ "135": "Slowbro",
148
+ "136": "MrMime",
149
+ "137": "Venonat",
150
+ "138": "Kabutops",
151
+ "139": "Drowzee",
152
+ "140": "Rhyhorn",
153
+ "141": "Tangela",
154
+ "142": "Doduo",
155
+ "143": "Exeggcute",
156
+ "144": "Poliwag",
157
+ "145": "Lickitung",
158
+ "146": "Hypno",
159
+ "147": "Bellsprout",
160
+ "148": "Parasect",
161
+ "149": "Kingler"
162
+ },
163
+ "image_size": 224,
164
+ "initializer_range": 0.02,
165
+ "intermediate_size": 3072,
166
+ "label2id": {
167
+ "Abra": 43,
168
+ "Aerodactyl": 87,
169
+ "Alakazam": 21,
170
+ "Alolan Sandslash": 41,
171
+ "Arbok": 3,
172
+ "Arcanine": 1,
173
+ "Articuno": 94,
174
+ "Beedrill": 106,
175
+ "Bellsprout": 147,
176
+ "Blastoise": 57,
177
+ "Bulbasaur": 36,
178
+ "Butterfree": 4,
179
+ "Caterpie": 34,
180
+ "Chansey": 50,
181
+ "Charizard": 63,
182
+ "Charmander": 111,
183
+ "Charmeleon": 54,
184
+ "Clefable": 71,
185
+ "Clefairy": 82,
186
+ "Cloyster": 123,
187
+ "Cubone": 13,
188
+ "Dewgong": 15,
189
+ "Diglett": 7,
190
+ "Ditto": 18,
191
+ "Dodrio": 110,
192
+ "Doduo": 142,
193
+ "Dragonair": 60,
194
+ "Dragonite": 27,
195
+ "Dratini": 35,
196
+ "Drowzee": 139,
197
+ "Dugtrio": 30,
198
+ "Eevee": 42,
199
+ "Ekans": 73,
200
+ "Electabuzz": 128,
201
+ "Electrode": 64,
202
+ "Exeggcute": 143,
203
+ "Exeggutor": 66,
204
+ "Farfetchd": 23,
205
+ "Fearow": 46,
206
+ "Flareon": 65,
207
+ "Gastly": 86,
208
+ "Gengar": 38,
209
+ "Geodude": 5,
210
+ "Gloom": 124,
211
+ "Golbat": 115,
212
+ "Goldeen": 117,
213
+ "Golduck": 130,
214
+ "Golem": 14,
215
+ "Graveler": 125,
216
+ "Grimer": 109,
217
+ "Growlithe": 85,
218
+ "Gyarados": 53,
219
+ "Haunter": 44,
220
+ "Hitmonchan": 32,
221
+ "Hitmonlee": 83,
222
+ "Horsea": 116,
223
+ "Hypno": 146,
224
+ "Ivysaur": 79,
225
+ "Jigglypuff": 26,
226
+ "Jolteon": 84,
227
+ "Jynx": 8,
228
+ "Kabuto": 12,
229
+ "Kabutops": 138,
230
+ "Kadabra": 17,
231
+ "Kakuna": 76,
232
+ "Kangaskhan": 51,
233
+ "Kingler": 149,
234
+ "Koffing": 119,
235
+ "Krabby": 127,
236
+ "Lapras": 81,
237
+ "Lickitung": 145,
238
+ "Machamp": 25,
239
+ "Machoke": 22,
240
+ "Machop": 39,
241
+ "Magikarp": 105,
242
+ "Magmar": 126,
243
+ "Magnemite": 96,
244
+ "Magneton": 10,
245
+ "Mankey": 31,
246
+ "Marowak": 75,
247
+ "Meowth": 92,
248
+ "Metapod": 45,
249
+ "Mew": 98,
250
+ "Mewtwo": 70,
251
+ "Moltres": 103,
252
+ "MrMime": 136,
253
+ "Muk": 112,
254
+ "Nidoking": 107,
255
+ "Nidoqueen": 100,
256
+ "Nidorina": 47,
257
+ "Nidorino": 132,
258
+ "Ninetales": 49,
259
+ "Oddish": 72,
260
+ "Omanyte": 97,
261
+ "Omastar": 24,
262
+ "Onix": 131,
263
+ "Paras": 108,
264
+ "Parasect": 148,
265
+ "Persian": 93,
266
+ "Pidgeot": 56,
267
+ "Pidgeotto": 118,
268
+ "Pidgey": 16,
269
+ "Pikachu": 67,
270
+ "Pinsir": 122,
271
+ "Poliwag": 144,
272
+ "Poliwhirl": 129,
273
+ "Poliwrath": 52,
274
+ "Ponyta": 102,
275
+ "Porygon": 58,
276
+ "Primeape": 113,
277
+ "Psyduck": 59,
278
+ "Raichu": 40,
279
+ "Rapidash": 77,
280
+ "Raticate": 61,
281
+ "Rattata": 20,
282
+ "Rhydon": 78,
283
+ "Rhyhorn": 140,
284
+ "Sandshrew": 29,
285
+ "Sandslash": 9,
286
+ "Scyther": 11,
287
+ "Seadra": 120,
288
+ "Seaking": 6,
289
+ "Seel": 90,
290
+ "Shellder": 74,
291
+ "Slowbro": 135,
292
+ "Slowpoke": 80,
293
+ "Snorlax": 133,
294
+ "Spearow": 33,
295
+ "Squirtle": 62,
296
+ "Starmie": 134,
297
+ "Staryu": 2,
298
+ "Tangela": 141,
299
+ "Tauros": 89,
300
+ "Tentacool": 37,
301
+ "Tentacruel": 121,
302
+ "Vaporeon": 101,
303
+ "Venomoth": 19,
304
+ "Venonat": 137,
305
+ "Venusaur": 69,
306
+ "Victreebel": 114,
307
+ "Vileplume": 99,
308
+ "Voltorb": 104,
309
+ "Vulpix": 55,
310
+ "Wartortle": 0,
311
+ "Weedle": 88,
312
+ "Weepinbell": 28,
313
+ "Weezing": 95,
314
+ "Wigglytuff": 68,
315
+ "Zapdos": 48,
316
+ "Zubat": 91
317
+ },
318
+ "layer_norm_eps": 1e-12,
319
+ "model_type": "vit",
320
+ "num_attention_heads": 12,
321
+ "num_channels": 3,
322
+ "num_hidden_layers": 12,
323
+ "patch_size": 16,
324
+ "problem_type": "single_label_classification",
325
+ "qkv_bias": true,
326
+ "torch_dtype": "float32",
327
+ "transformers_version": "4.33.3"
328
+ }
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 sha256:166fd43cd4ac4cece9cc575d2e5b577ac4847e37587460ae977d6c92d330a757
3
+ size 343723949
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5eb2aa0893f36bd4bccb5cedd2df63d8fd8a20363e40239439d362401df751c6
3
+ size 4027