dima806 commited on
Commit
63074b1
·
verified ·
1 Parent(s): 0146198

Upload folder using huggingface_hub

Browse files
checkpoint-31974/config.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "Acura",
13
+ "1": "Alfa Romeo",
14
+ "2": "Aston Martin",
15
+ "3": "Audi",
16
+ "4": "BMW",
17
+ "5": "Bentley",
18
+ "6": "Bugatti",
19
+ "7": "Buick",
20
+ "8": "Cadillac",
21
+ "9": "Chevrolet",
22
+ "10": "Chrysler",
23
+ "11": "Citroen",
24
+ "12": "Daewoo",
25
+ "13": "Dodge",
26
+ "14": "Ferrari",
27
+ "15": "Fiat",
28
+ "16": "Ford",
29
+ "17": "GMC",
30
+ "18": "Genesis",
31
+ "19": "Honda",
32
+ "20": "Hudson",
33
+ "21": "Hyundai",
34
+ "22": "Infiniti",
35
+ "23": "Jaguar",
36
+ "24": "Jeep",
37
+ "25": "Kia",
38
+ "26": "Lamborghini",
39
+ "27": "Land Rover",
40
+ "28": "Lexus",
41
+ "29": "Lincoln",
42
+ "30": "MG",
43
+ "31": "Maserati",
44
+ "32": "Mazda",
45
+ "33": "McLaren",
46
+ "34": "Mercedes-Benz",
47
+ "35": "Mini",
48
+ "36": "Mitsubishi",
49
+ "37": "Nissan",
50
+ "38": "Oldsmobile",
51
+ "39": "Peugeot",
52
+ "40": "Pontiac",
53
+ "41": "Porsche",
54
+ "42": "Ram",
55
+ "43": "Ram Trucks",
56
+ "44": "Renault",
57
+ "45": "Rolls-Royce",
58
+ "46": "Saab",
59
+ "47": "Smart",
60
+ "48": "Studebaker",
61
+ "49": "Subaru",
62
+ "50": "Suzuki",
63
+ "51": "Tesla",
64
+ "52": "Toyota",
65
+ "53": "Volkswagen",
66
+ "54": "Volvo"
67
+ },
68
+ "image_size": 224,
69
+ "initializer_range": 0.02,
70
+ "intermediate_size": 3072,
71
+ "label2id": {
72
+ "Acura": 0,
73
+ "Alfa Romeo": 1,
74
+ "Aston Martin": 2,
75
+ "Audi": 3,
76
+ "BMW": 4,
77
+ "Bentley": 5,
78
+ "Bugatti": 6,
79
+ "Buick": 7,
80
+ "Cadillac": 8,
81
+ "Chevrolet": 9,
82
+ "Chrysler": 10,
83
+ "Citroen": 11,
84
+ "Daewoo": 12,
85
+ "Dodge": 13,
86
+ "Ferrari": 14,
87
+ "Fiat": 15,
88
+ "Ford": 16,
89
+ "GMC": 17,
90
+ "Genesis": 18,
91
+ "Honda": 19,
92
+ "Hudson": 20,
93
+ "Hyundai": 21,
94
+ "Infiniti": 22,
95
+ "Jaguar": 23,
96
+ "Jeep": 24,
97
+ "Kia": 25,
98
+ "Lamborghini": 26,
99
+ "Land Rover": 27,
100
+ "Lexus": 28,
101
+ "Lincoln": 29,
102
+ "MG": 30,
103
+ "Maserati": 31,
104
+ "Mazda": 32,
105
+ "McLaren": 33,
106
+ "Mercedes-Benz": 34,
107
+ "Mini": 35,
108
+ "Mitsubishi": 36,
109
+ "Nissan": 37,
110
+ "Oldsmobile": 38,
111
+ "Peugeot": 39,
112
+ "Pontiac": 40,
113
+ "Porsche": 41,
114
+ "Ram": 42,
115
+ "Ram Trucks": 43,
116
+ "Renault": 44,
117
+ "Rolls-Royce": 45,
118
+ "Saab": 46,
119
+ "Smart": 47,
120
+ "Studebaker": 48,
121
+ "Subaru": 49,
122
+ "Suzuki": 50,
123
+ "Tesla": 51,
124
+ "Toyota": 52,
125
+ "Volkswagen": 53,
126
+ "Volvo": 54
127
+ },
128
+ "layer_norm_eps": 1e-12,
129
+ "model_type": "vit",
130
+ "num_attention_heads": 12,
131
+ "num_channels": 3,
132
+ "num_hidden_layers": 12,
133
+ "patch_size": 16,
134
+ "problem_type": "single_label_classification",
135
+ "qkv_bias": true,
136
+ "torch_dtype": "float32",
137
+ "transformers_version": "4.46.1"
138
+ }
checkpoint-31974/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4434bb1c21783caa0078e23ee6f1962484398526b4d9b38ba912fb4305c8921d
3
+ size 343387012
checkpoint-31974/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39d09992be6f219f1b52b97f7b474c809b08afdec896bd4e66ef0b1ff2c5b686
3
+ size 686894469
checkpoint-31974/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-31974/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4e09e71e805b81befd8d45517e5ba6f98e2c0dc0de7c7b1f04b7975a4e1c4cf
3
+ size 14575
checkpoint-31974/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1abc14e7ba11e17402625b7b339fefea2dcce1e00bf11864da3caa4b97d7d60a
3
+ size 627
checkpoint-31974/trainer_state.json ADDED
@@ -0,0 +1,534 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.573267698287964,
3
+ "best_model_checkpoint": "car_brands_image_detection/checkpoint-31974",
4
+ "epoch": 6.0,
5
+ "eval_steps": 500,
6
+ "global_step": 31974,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09382623381497467,
13
+ "grad_norm": 1.1010551452636719,
14
+ "learning_rate": 1.9718080441047486e-06,
15
+ "loss": 4.0,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.18765246762994933,
20
+ "grad_norm": 1.328322410583496,
21
+ "learning_rate": 1.9404836486655806e-06,
22
+ "loss": 3.9571,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.281478701444924,
27
+ "grad_norm": 1.4056262969970703,
28
+ "learning_rate": 1.9091592532264125e-06,
29
+ "loss": 3.9054,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.37530493525989866,
34
+ "grad_norm": 1.557868480682373,
35
+ "learning_rate": 1.8778348577872447e-06,
36
+ "loss": 3.8497,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.46913116907487334,
41
+ "grad_norm": 1.532055377960205,
42
+ "learning_rate": 1.8465104623480764e-06,
43
+ "loss": 3.7942,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.562957402889848,
48
+ "grad_norm": 1.6487107276916504,
49
+ "learning_rate": 1.8151860669089086e-06,
50
+ "loss": 3.7438,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.6567836367048226,
55
+ "grad_norm": 1.6391078233718872,
56
+ "learning_rate": 1.7838616714697405e-06,
57
+ "loss": 3.6947,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.7506098705197973,
62
+ "grad_norm": 1.8407845497131348,
63
+ "learning_rate": 1.7525372760305725e-06,
64
+ "loss": 3.6408,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.844436104334772,
69
+ "grad_norm": 1.6594038009643555,
70
+ "learning_rate": 1.7212128805914046e-06,
71
+ "loss": 3.5885,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.9382623381497467,
76
+ "grad_norm": 1.889947772026062,
77
+ "learning_rate": 1.6898884851522366e-06,
78
+ "loss": 3.5404,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 1.0,
83
+ "eval_accuracy": 0.28911624469975544,
84
+ "eval_loss": 3.5254716873168945,
85
+ "eval_model_preparation_time": 0.0054,
86
+ "eval_runtime": 1133.5642,
87
+ "eval_samples_per_second": 100.28,
88
+ "eval_steps_per_second": 12.536,
89
+ "step": 5329
90
+ },
91
+ {
92
+ "epoch": 1.0320885719647213,
93
+ "grad_norm": 2.195939540863037,
94
+ "learning_rate": 1.6585640897130683e-06,
95
+ "loss": 3.4895,
96
+ "step": 5500
97
+ },
98
+ {
99
+ "epoch": 1.125914805779696,
100
+ "grad_norm": 2.153141736984253,
101
+ "learning_rate": 1.6272396942739004e-06,
102
+ "loss": 3.4444,
103
+ "step": 6000
104
+ },
105
+ {
106
+ "epoch": 1.2197410395946706,
107
+ "grad_norm": 1.90287446975708,
108
+ "learning_rate": 1.5959152988347324e-06,
109
+ "loss": 3.4021,
110
+ "step": 6500
111
+ },
112
+ {
113
+ "epoch": 1.3135672734096453,
114
+ "grad_norm": 2.318300247192383,
115
+ "learning_rate": 1.5645909033955643e-06,
116
+ "loss": 3.3694,
117
+ "step": 7000
118
+ },
119
+ {
120
+ "epoch": 1.40739350722462,
121
+ "grad_norm": 2.0277891159057617,
122
+ "learning_rate": 1.5332665079563965e-06,
123
+ "loss": 3.335,
124
+ "step": 7500
125
+ },
126
+ {
127
+ "epoch": 1.5012197410395947,
128
+ "grad_norm": 2.453045606613159,
129
+ "learning_rate": 1.5019421125172282e-06,
130
+ "loss": 3.2886,
131
+ "step": 8000
132
+ },
133
+ {
134
+ "epoch": 1.5950459748545693,
135
+ "grad_norm": 2.8956668376922607,
136
+ "learning_rate": 1.4706177170780602e-06,
137
+ "loss": 3.2617,
138
+ "step": 8500
139
+ },
140
+ {
141
+ "epoch": 1.688872208669544,
142
+ "grad_norm": 2.398240804672241,
143
+ "learning_rate": 1.4392933216388923e-06,
144
+ "loss": 3.2273,
145
+ "step": 9000
146
+ },
147
+ {
148
+ "epoch": 1.7826984424845187,
149
+ "grad_norm": 3.2654738426208496,
150
+ "learning_rate": 1.4079689261997243e-06,
151
+ "loss": 3.1976,
152
+ "step": 9500
153
+ },
154
+ {
155
+ "epoch": 1.8765246762994934,
156
+ "grad_norm": 2.843698263168335,
157
+ "learning_rate": 1.3766445307605562e-06,
158
+ "loss": 3.1636,
159
+ "step": 10000
160
+ },
161
+ {
162
+ "epoch": 1.970350910114468,
163
+ "grad_norm": 3.392847776412964,
164
+ "learning_rate": 1.3453201353213884e-06,
165
+ "loss": 3.1312,
166
+ "step": 10500
167
+ },
168
+ {
169
+ "epoch": 2.0,
170
+ "eval_accuracy": 0.3840104157503035,
171
+ "eval_loss": 3.157210350036621,
172
+ "eval_model_preparation_time": 0.0054,
173
+ "eval_runtime": 1120.185,
174
+ "eval_samples_per_second": 101.478,
175
+ "eval_steps_per_second": 12.685,
176
+ "step": 10658
177
+ },
178
+ {
179
+ "epoch": 2.0641771439294425,
180
+ "grad_norm": 2.8789336681365967,
181
+ "learning_rate": 1.3139957398822201e-06,
182
+ "loss": 3.1001,
183
+ "step": 11000
184
+ },
185
+ {
186
+ "epoch": 2.1580033777444174,
187
+ "grad_norm": 3.523937225341797,
188
+ "learning_rate": 1.282671344443052e-06,
189
+ "loss": 3.065,
190
+ "step": 11500
191
+ },
192
+ {
193
+ "epoch": 2.251829611559392,
194
+ "grad_norm": 3.3203866481781006,
195
+ "learning_rate": 1.2513469490038842e-06,
196
+ "loss": 3.0418,
197
+ "step": 12000
198
+ },
199
+ {
200
+ "epoch": 2.3456558453743668,
201
+ "grad_norm": 2.9499928951263428,
202
+ "learning_rate": 1.2200225535647162e-06,
203
+ "loss": 3.0185,
204
+ "step": 12500
205
+ },
206
+ {
207
+ "epoch": 2.4394820791893412,
208
+ "grad_norm": 3.711545705795288,
209
+ "learning_rate": 1.1886981581255481e-06,
210
+ "loss": 2.9926,
211
+ "step": 13000
212
+ },
213
+ {
214
+ "epoch": 2.533308313004316,
215
+ "grad_norm": 3.0691421031951904,
216
+ "learning_rate": 1.1573737626863803e-06,
217
+ "loss": 2.9589,
218
+ "step": 13500
219
+ },
220
+ {
221
+ "epoch": 2.6271345468192906,
222
+ "grad_norm": 2.8521406650543213,
223
+ "learning_rate": 1.126049367247212e-06,
224
+ "loss": 2.9496,
225
+ "step": 14000
226
+ },
227
+ {
228
+ "epoch": 2.7209607806342655,
229
+ "grad_norm": 3.645907402038574,
230
+ "learning_rate": 1.094724971808044e-06,
231
+ "loss": 2.9115,
232
+ "step": 14500
233
+ },
234
+ {
235
+ "epoch": 2.81478701444924,
236
+ "grad_norm": 2.6633188724517822,
237
+ "learning_rate": 1.063400576368876e-06,
238
+ "loss": 2.8923,
239
+ "step": 15000
240
+ },
241
+ {
242
+ "epoch": 2.9086132482642144,
243
+ "grad_norm": 3.053062915802002,
244
+ "learning_rate": 1.032076180929708e-06,
245
+ "loss": 2.8703,
246
+ "step": 15500
247
+ },
248
+ {
249
+ "epoch": 3.0,
250
+ "eval_accuracy": 0.43637067403276036,
251
+ "eval_loss": 2.8984599113464355,
252
+ "eval_model_preparation_time": 0.0054,
253
+ "eval_runtime": 1123.7967,
254
+ "eval_samples_per_second": 101.152,
255
+ "eval_steps_per_second": 12.645,
256
+ "step": 15987
257
+ },
258
+ {
259
+ "epoch": 3.0024394820791893,
260
+ "grad_norm": 2.9147167205810547,
261
+ "learning_rate": 1.00075178549054e-06,
262
+ "loss": 2.8419,
263
+ "step": 16000
264
+ },
265
+ {
266
+ "epoch": 3.096265715894164,
267
+ "grad_norm": 3.5354490280151367,
268
+ "learning_rate": 9.69427390051372e-07,
269
+ "loss": 2.8221,
270
+ "step": 16500
271
+ },
272
+ {
273
+ "epoch": 3.1900919497091387,
274
+ "grad_norm": 3.0408437252044678,
275
+ "learning_rate": 9.38102994612204e-07,
276
+ "loss": 2.7963,
277
+ "step": 17000
278
+ },
279
+ {
280
+ "epoch": 3.283918183524113,
281
+ "grad_norm": 4.841484069824219,
282
+ "learning_rate": 9.067785991730359e-07,
283
+ "loss": 2.7837,
284
+ "step": 17500
285
+ },
286
+ {
287
+ "epoch": 3.377744417339088,
288
+ "grad_norm": 3.432560682296753,
289
+ "learning_rate": 8.754542037338679e-07,
290
+ "loss": 2.7699,
291
+ "step": 18000
292
+ },
293
+ {
294
+ "epoch": 3.4715706511540625,
295
+ "grad_norm": 4.054901123046875,
296
+ "learning_rate": 8.441298082946998e-07,
297
+ "loss": 2.7518,
298
+ "step": 18500
299
+ },
300
+ {
301
+ "epoch": 3.5653968849690374,
302
+ "grad_norm": 4.113468647003174,
303
+ "learning_rate": 8.128054128555319e-07,
304
+ "loss": 2.73,
305
+ "step": 19000
306
+ },
307
+ {
308
+ "epoch": 3.659223118784012,
309
+ "grad_norm": 3.7899582386016846,
310
+ "learning_rate": 7.814810174163638e-07,
311
+ "loss": 2.6995,
312
+ "step": 19500
313
+ },
314
+ {
315
+ "epoch": 3.7530493525989868,
316
+ "grad_norm": 3.954853057861328,
317
+ "learning_rate": 7.501566219771958e-07,
318
+ "loss": 2.6955,
319
+ "step": 20000
320
+ },
321
+ {
322
+ "epoch": 3.846875586413961,
323
+ "grad_norm": 3.6600358486175537,
324
+ "learning_rate": 7.188322265380278e-07,
325
+ "loss": 2.6632,
326
+ "step": 20500
327
+ },
328
+ {
329
+ "epoch": 3.940701820228936,
330
+ "grad_norm": 5.025015830993652,
331
+ "learning_rate": 6.875078310988598e-07,
332
+ "loss": 2.6537,
333
+ "step": 21000
334
+ },
335
+ {
336
+ "epoch": 4.0,
337
+ "eval_accuracy": 0.47423333391980577,
338
+ "eval_loss": 2.717848300933838,
339
+ "eval_model_preparation_time": 0.0054,
340
+ "eval_runtime": 1116.9833,
341
+ "eval_samples_per_second": 101.769,
342
+ "eval_steps_per_second": 12.722,
343
+ "step": 21316
344
+ },
345
+ {
346
+ "epoch": 4.034528054043911,
347
+ "grad_norm": 3.939284324645996,
348
+ "learning_rate": 6.561834356596917e-07,
349
+ "loss": 2.6525,
350
+ "step": 21500
351
+ },
352
+ {
353
+ "epoch": 4.128354287858885,
354
+ "grad_norm": 3.3858115673065186,
355
+ "learning_rate": 6.248590402205238e-07,
356
+ "loss": 2.6308,
357
+ "step": 22000
358
+ },
359
+ {
360
+ "epoch": 4.22218052167386,
361
+ "grad_norm": 3.881986379623413,
362
+ "learning_rate": 5.935346447813557e-07,
363
+ "loss": 2.6093,
364
+ "step": 22500
365
+ },
366
+ {
367
+ "epoch": 4.316006755488835,
368
+ "grad_norm": 3.7069151401519775,
369
+ "learning_rate": 5.622102493421877e-07,
370
+ "loss": 2.6153,
371
+ "step": 23000
372
+ },
373
+ {
374
+ "epoch": 4.409832989303809,
375
+ "grad_norm": 4.156313419342041,
376
+ "learning_rate": 5.308858539030196e-07,
377
+ "loss": 2.5988,
378
+ "step": 23500
379
+ },
380
+ {
381
+ "epoch": 4.503659223118784,
382
+ "grad_norm": 3.6459434032440186,
383
+ "learning_rate": 4.995614584638517e-07,
384
+ "loss": 2.5809,
385
+ "step": 24000
386
+ },
387
+ {
388
+ "epoch": 4.597485456933759,
389
+ "grad_norm": 3.659991502761841,
390
+ "learning_rate": 4.682370630246836e-07,
391
+ "loss": 2.57,
392
+ "step": 24500
393
+ },
394
+ {
395
+ "epoch": 4.6913116907487336,
396
+ "grad_norm": 3.7952539920806885,
397
+ "learning_rate": 4.369126675855156e-07,
398
+ "loss": 2.5518,
399
+ "step": 25000
400
+ },
401
+ {
402
+ "epoch": 4.785137924563708,
403
+ "grad_norm": 4.7407026290893555,
404
+ "learning_rate": 4.0558827214634755e-07,
405
+ "loss": 2.5444,
406
+ "step": 25500
407
+ },
408
+ {
409
+ "epoch": 4.8789641583786825,
410
+ "grad_norm": 2.688025951385498,
411
+ "learning_rate": 3.742638767071795e-07,
412
+ "loss": 2.5441,
413
+ "step": 26000
414
+ },
415
+ {
416
+ "epoch": 4.972790392193657,
417
+ "grad_norm": 4.759518623352051,
418
+ "learning_rate": 3.4293948126801154e-07,
419
+ "loss": 2.5364,
420
+ "step": 26500
421
+ },
422
+ {
423
+ "epoch": 5.0,
424
+ "eval_accuracy": 0.49621725284585744,
425
+ "eval_loss": 2.6088995933532715,
426
+ "eval_model_preparation_time": 0.0054,
427
+ "eval_runtime": 1104.5624,
428
+ "eval_samples_per_second": 102.913,
429
+ "eval_steps_per_second": 12.865,
430
+ "step": 26645
431
+ },
432
+ {
433
+ "epoch": 5.066616626008632,
434
+ "grad_norm": 6.005688190460205,
435
+ "learning_rate": 3.116150858288435e-07,
436
+ "loss": 2.5174,
437
+ "step": 27000
438
+ },
439
+ {
440
+ "epoch": 5.160442859823607,
441
+ "grad_norm": 3.0456652641296387,
442
+ "learning_rate": 2.8029069038967543e-07,
443
+ "loss": 2.5143,
444
+ "step": 27500
445
+ },
446
+ {
447
+ "epoch": 5.254269093638581,
448
+ "grad_norm": 4.690863132476807,
449
+ "learning_rate": 2.4896629495050743e-07,
450
+ "loss": 2.5159,
451
+ "step": 28000
452
+ },
453
+ {
454
+ "epoch": 5.348095327453556,
455
+ "grad_norm": 6.047962665557861,
456
+ "learning_rate": 2.1764189951133943e-07,
457
+ "loss": 2.5094,
458
+ "step": 28500
459
+ },
460
+ {
461
+ "epoch": 5.441921561268531,
462
+ "grad_norm": 4.963265895843506,
463
+ "learning_rate": 1.863175040721714e-07,
464
+ "loss": 2.5113,
465
+ "step": 29000
466
+ },
467
+ {
468
+ "epoch": 5.5357477950835055,
469
+ "grad_norm": 4.23138952255249,
470
+ "learning_rate": 1.5499310863300338e-07,
471
+ "loss": 2.4888,
472
+ "step": 29500
473
+ },
474
+ {
475
+ "epoch": 5.62957402889848,
476
+ "grad_norm": 3.680149793624878,
477
+ "learning_rate": 1.2366871319383535e-07,
478
+ "loss": 2.5027,
479
+ "step": 30000
480
+ },
481
+ {
482
+ "epoch": 5.723400262713454,
483
+ "grad_norm": 3.7554168701171875,
484
+ "learning_rate": 9.234431775466733e-08,
485
+ "loss": 2.4941,
486
+ "step": 30500
487
+ },
488
+ {
489
+ "epoch": 5.81722649652843,
490
+ "grad_norm": 3.9157700538635254,
491
+ "learning_rate": 6.10199223154993e-08,
492
+ "loss": 2.4996,
493
+ "step": 31000
494
+ },
495
+ {
496
+ "epoch": 5.911052730343404,
497
+ "grad_norm": 3.978684902191162,
498
+ "learning_rate": 2.9695526876331285e-08,
499
+ "loss": 2.4811,
500
+ "step": 31500
501
+ },
502
+ {
503
+ "epoch": 6.0,
504
+ "eval_accuracy": 0.5020937065643859,
505
+ "eval_loss": 2.573267698287964,
506
+ "eval_model_preparation_time": 0.0054,
507
+ "eval_runtime": 1092.2998,
508
+ "eval_samples_per_second": 104.068,
509
+ "eval_steps_per_second": 13.009,
510
+ "step": 31974
511
+ }
512
+ ],
513
+ "logging_steps": 500,
514
+ "max_steps": 31974,
515
+ "num_input_tokens_seen": 0,
516
+ "num_train_epochs": 6,
517
+ "save_steps": 500,
518
+ "stateful_callbacks": {
519
+ "TrainerControl": {
520
+ "args": {
521
+ "should_epoch_stop": false,
522
+ "should_evaluate": false,
523
+ "should_log": false,
524
+ "should_save": true,
525
+ "should_training_stop": true
526
+ },
527
+ "attributes": {}
528
+ }
529
+ },
530
+ "total_flos": 7.931707933432381e+19,
531
+ "train_batch_size": 32,
532
+ "trial_name": null,
533
+ "trial_params": null
534
+ }
checkpoint-31974/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5be75e60227ec3925963a94a4bd6597f67e127af381ca33e725a64c3425537be
3
+ size 4731
config.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "Acura",
13
+ "1": "Alfa Romeo",
14
+ "2": "Aston Martin",
15
+ "3": "Audi",
16
+ "4": "BMW",
17
+ "5": "Bentley",
18
+ "6": "Bugatti",
19
+ "7": "Buick",
20
+ "8": "Cadillac",
21
+ "9": "Chevrolet",
22
+ "10": "Chrysler",
23
+ "11": "Citroen",
24
+ "12": "Daewoo",
25
+ "13": "Dodge",
26
+ "14": "Ferrari",
27
+ "15": "Fiat",
28
+ "16": "Ford",
29
+ "17": "GMC",
30
+ "18": "Genesis",
31
+ "19": "Honda",
32
+ "20": "Hudson",
33
+ "21": "Hyundai",
34
+ "22": "Infiniti",
35
+ "23": "Jaguar",
36
+ "24": "Jeep",
37
+ "25": "Kia",
38
+ "26": "Lamborghini",
39
+ "27": "Land Rover",
40
+ "28": "Lexus",
41
+ "29": "Lincoln",
42
+ "30": "MG",
43
+ "31": "Maserati",
44
+ "32": "Mazda",
45
+ "33": "McLaren",
46
+ "34": "Mercedes-Benz",
47
+ "35": "Mini",
48
+ "36": "Mitsubishi",
49
+ "37": "Nissan",
50
+ "38": "Oldsmobile",
51
+ "39": "Peugeot",
52
+ "40": "Pontiac",
53
+ "41": "Porsche",
54
+ "42": "Ram",
55
+ "43": "Ram Trucks",
56
+ "44": "Renault",
57
+ "45": "Rolls-Royce",
58
+ "46": "Saab",
59
+ "47": "Smart",
60
+ "48": "Studebaker",
61
+ "49": "Subaru",
62
+ "50": "Suzuki",
63
+ "51": "Tesla",
64
+ "52": "Toyota",
65
+ "53": "Volkswagen",
66
+ "54": "Volvo"
67
+ },
68
+ "image_size": 224,
69
+ "initializer_range": 0.02,
70
+ "intermediate_size": 3072,
71
+ "label2id": {
72
+ "Acura": 0,
73
+ "Alfa Romeo": 1,
74
+ "Aston Martin": 2,
75
+ "Audi": 3,
76
+ "BMW": 4,
77
+ "Bentley": 5,
78
+ "Bugatti": 6,
79
+ "Buick": 7,
80
+ "Cadillac": 8,
81
+ "Chevrolet": 9,
82
+ "Chrysler": 10,
83
+ "Citroen": 11,
84
+ "Daewoo": 12,
85
+ "Dodge": 13,
86
+ "Ferrari": 14,
87
+ "Fiat": 15,
88
+ "Ford": 16,
89
+ "GMC": 17,
90
+ "Genesis": 18,
91
+ "Honda": 19,
92
+ "Hudson": 20,
93
+ "Hyundai": 21,
94
+ "Infiniti": 22,
95
+ "Jaguar": 23,
96
+ "Jeep": 24,
97
+ "Kia": 25,
98
+ "Lamborghini": 26,
99
+ "Land Rover": 27,
100
+ "Lexus": 28,
101
+ "Lincoln": 29,
102
+ "MG": 30,
103
+ "Maserati": 31,
104
+ "Mazda": 32,
105
+ "McLaren": 33,
106
+ "Mercedes-Benz": 34,
107
+ "Mini": 35,
108
+ "Mitsubishi": 36,
109
+ "Nissan": 37,
110
+ "Oldsmobile": 38,
111
+ "Peugeot": 39,
112
+ "Pontiac": 40,
113
+ "Porsche": 41,
114
+ "Ram": 42,
115
+ "Ram Trucks": 43,
116
+ "Renault": 44,
117
+ "Rolls-Royce": 45,
118
+ "Saab": 46,
119
+ "Smart": 47,
120
+ "Studebaker": 48,
121
+ "Subaru": 49,
122
+ "Suzuki": 50,
123
+ "Tesla": 51,
124
+ "Toyota": 52,
125
+ "Volkswagen": 53,
126
+ "Volvo": 54
127
+ },
128
+ "layer_norm_eps": 1e-12,
129
+ "model_type": "vit",
130
+ "num_attention_heads": 12,
131
+ "num_channels": 3,
132
+ "num_hidden_layers": 12,
133
+ "patch_size": 16,
134
+ "problem_type": "single_label_classification",
135
+ "qkv_bias": true,
136
+ "torch_dtype": "float32",
137
+ "transformers_version": "4.46.1"
138
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4434bb1c21783caa0078e23ee6f1962484398526b4d9b38ba912fb4305c8921d
3
+ size 343387012
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
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5be75e60227ec3925963a94a4bd6597f67e127af381ca33e725a64c3425537be
3
+ size 4731