dima806 commited on
Commit
18f7ea8
1 Parent(s): 52520d5

Upload folder using huggingface_hub

Browse files
checkpoint-21765/config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "google/vit-base-patch16-224-in21k",
3
  "architectures": [
4
  "ViTForImageClassification"
5
  ],
 
1
  {
2
+ "_name_or_path": "dima806/car_brands_image_detection",
3
  "architectures": [
4
  "ViTForImageClassification"
5
  ],
checkpoint-21765/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ab8b3a77790437806c8c01cc04b3d5d18cc3a92544a63a2bc367d8370517861d
3
  size 344211388
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cda4fcd3994c0f781b29c079ea9a736c6cef52f288246182579e7170492d6b3
3
  size 344211388
checkpoint-21765/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4fb88a91e27906b2c39fdbedf4e204b1536a4b0f5b0f3df610353f780265b352
3
  size 688543237
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4bd3c52086c11d2fd5002e0460518be110d2c4397c8c498ce688c71c949ae45d
3
  size 688543237
checkpoint-21765/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:33524503b48b057910d50cb2acfa6e63ed9b20f1de85eb65df0ba8efab82d7fa
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:564a7026b795995ce34d000ba43eb760ae94321f3fac37b894d99cba02b2a9c9
3
  size 627
checkpoint-21765/trainer_state.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "best_metric": 4.681754112243652,
3
  "best_model_checkpoint": "car_brands_image_detection/checkpoint-21765",
4
  "epoch": 5.0,
5
  "eval_steps": 500,
@@ -10,348 +10,348 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.11,
13
- "grad_norm": 1.245316505432129,
14
- "learning_rate": 4.8963849873359435e-06,
15
- "loss": 5.7646,
16
  "step": 500
17
  },
18
  {
19
  "epoch": 0.23,
20
- "grad_norm": 1.3855398893356323,
21
- "learning_rate": 4.781257195486991e-06,
22
- "loss": 5.7198,
23
  "step": 1000
24
  },
25
  {
26
  "epoch": 0.34,
27
- "grad_norm": 1.5914552211761475,
28
- "learning_rate": 4.666129403638039e-06,
29
- "loss": 5.6722,
30
  "step": 1500
31
  },
32
  {
33
  "epoch": 0.46,
34
- "grad_norm": 1.574438214302063,
35
- "learning_rate": 4.551001611789087e-06,
36
- "loss": 5.6256,
37
  "step": 2000
38
  },
39
  {
40
  "epoch": 0.57,
41
- "grad_norm": 1.6384121179580688,
42
- "learning_rate": 4.435873819940134e-06,
43
- "loss": 5.5753,
44
  "step": 2500
45
  },
46
  {
47
  "epoch": 0.69,
48
- "grad_norm": 2.455289363861084,
49
- "learning_rate": 4.320746028091182e-06,
50
- "loss": 5.5277,
51
  "step": 3000
52
  },
53
  {
54
  "epoch": 0.8,
55
- "grad_norm": 1.637087345123291,
56
- "learning_rate": 4.205618236242229e-06,
57
- "loss": 5.4828,
58
  "step": 3500
59
  },
60
  {
61
  "epoch": 0.92,
62
- "grad_norm": 1.887794017791748,
63
- "learning_rate": 4.090490444393277e-06,
64
- "loss": 5.4315,
65
  "step": 4000
66
  },
67
  {
68
  "epoch": 1.0,
69
- "eval_accuracy": 0.16143021252153936,
70
- "eval_loss": 5.4130473136901855,
71
- "eval_runtime": 373.3699,
72
- "eval_samples_per_second": 93.259,
73
- "eval_steps_per_second": 11.659,
74
  "step": 4353
75
  },
76
  {
77
  "epoch": 1.03,
78
- "grad_norm": 2.1020355224609375,
79
- "learning_rate": 3.975362652544324e-06,
80
- "loss": 5.3915,
81
  "step": 4500
82
  },
83
  {
84
  "epoch": 1.15,
85
- "grad_norm": 1.868577241897583,
86
- "learning_rate": 3.860234860695372e-06,
87
- "loss": 5.34,
88
  "step": 5000
89
  },
90
  {
91
  "epoch": 1.26,
92
- "grad_norm": 1.8365103006362915,
93
- "learning_rate": 3.74510706884642e-06,
94
- "loss": 5.2992,
95
  "step": 5500
96
  },
97
  {
98
  "epoch": 1.38,
99
- "grad_norm": 1.9328190088272095,
100
- "learning_rate": 3.6299792769974675e-06,
101
- "loss": 5.2557,
102
  "step": 6000
103
  },
104
  {
105
  "epoch": 1.49,
106
- "grad_norm": 1.9776891469955444,
107
- "learning_rate": 3.514851485148515e-06,
108
- "loss": 5.2221,
109
  "step": 6500
110
  },
111
  {
112
  "epoch": 1.61,
113
- "grad_norm": 1.8611873388290405,
114
- "learning_rate": 3.3997236932995626e-06,
115
- "loss": 5.1845,
116
  "step": 7000
117
  },
118
  {
119
  "epoch": 1.72,
120
- "grad_norm": 2.0713303089141846,
121
- "learning_rate": 3.2845959014506106e-06,
122
- "loss": 5.1466,
123
  "step": 7500
124
  },
125
  {
126
  "epoch": 1.84,
127
- "grad_norm": 2.1336920261383057,
128
- "learning_rate": 3.1694681096016582e-06,
129
- "loss": 5.1209,
130
  "step": 8000
131
  },
132
  {
133
  "epoch": 1.95,
134
- "grad_norm": 2.0790388584136963,
135
- "learning_rate": 3.054340317752706e-06,
136
- "loss": 5.0821,
137
  "step": 8500
138
  },
139
  {
140
  "epoch": 2.0,
141
- "eval_accuracy": 0.2534175761056864,
142
- "eval_loss": 5.101416110992432,
143
- "eval_runtime": 379.9834,
144
- "eval_samples_per_second": 91.636,
145
- "eval_steps_per_second": 11.456,
146
  "step": 8706
147
  },
148
  {
149
  "epoch": 2.07,
150
- "grad_norm": 2.2780089378356934,
151
- "learning_rate": 2.9392125259037534e-06,
152
- "loss": 5.0448,
153
  "step": 9000
154
  },
155
  {
156
  "epoch": 2.18,
157
- "grad_norm": 2.555509090423584,
158
- "learning_rate": 2.824084734054801e-06,
159
- "loss": 5.005,
160
  "step": 9500
161
  },
162
  {
163
  "epoch": 2.3,
164
- "grad_norm": 2.188175916671753,
165
- "learning_rate": 2.7089569422058486e-06,
166
- "loss": 4.9819,
167
  "step": 10000
168
  },
169
  {
170
  "epoch": 2.41,
171
- "grad_norm": 2.2957634925842285,
172
- "learning_rate": 2.593829150356896e-06,
173
- "loss": 4.9499,
174
  "step": 10500
175
  },
176
  {
177
  "epoch": 2.53,
178
- "grad_norm": 2.6697535514831543,
179
- "learning_rate": 2.4787013585079438e-06,
180
- "loss": 4.9236,
181
  "step": 11000
182
  },
183
  {
184
  "epoch": 2.64,
185
- "grad_norm": 2.6424810886383057,
186
- "learning_rate": 2.363573566658992e-06,
187
- "loss": 4.8961,
188
  "step": 11500
189
  },
190
  {
191
  "epoch": 2.76,
192
- "grad_norm": 2.5476348400115967,
193
- "learning_rate": 2.2484457748100394e-06,
194
- "loss": 4.8669,
195
  "step": 12000
196
  },
197
  {
198
  "epoch": 2.87,
199
- "grad_norm": 2.3084092140197754,
200
- "learning_rate": 2.133317982961087e-06,
201
- "loss": 4.8464,
202
  "step": 12500
203
  },
204
  {
205
  "epoch": 2.99,
206
- "grad_norm": 2.4545116424560547,
207
- "learning_rate": 2.0181901911121346e-06,
208
- "loss": 4.825,
209
  "step": 13000
210
  },
211
  {
212
  "epoch": 3.0,
213
- "eval_accuracy": 0.3051120045950603,
214
- "eval_loss": 4.873249530792236,
215
- "eval_runtime": 383.4043,
216
- "eval_samples_per_second": 90.818,
217
- "eval_steps_per_second": 11.354,
218
  "step": 13059
219
  },
220
  {
221
  "epoch": 3.1,
222
- "grad_norm": 2.7930803298950195,
223
- "learning_rate": 1.9030623992631822e-06,
224
- "loss": 4.7866,
225
  "step": 13500
226
  },
227
  {
228
  "epoch": 3.22,
229
- "grad_norm": 3.1879501342773438,
230
- "learning_rate": 1.7879346074142297e-06,
231
- "loss": 4.7743,
232
  "step": 14000
233
  },
234
  {
235
  "epoch": 3.33,
236
- "grad_norm": 2.784158945083618,
237
- "learning_rate": 1.6728068155652778e-06,
238
- "loss": 4.7578,
239
  "step": 14500
240
  },
241
  {
242
  "epoch": 3.45,
243
- "grad_norm": 2.792235851287842,
244
- "learning_rate": 1.5576790237163253e-06,
245
- "loss": 4.7372,
246
  "step": 15000
247
  },
248
  {
249
  "epoch": 3.56,
250
- "grad_norm": 2.644819974899292,
251
- "learning_rate": 1.442551231867373e-06,
252
- "loss": 4.7102,
253
  "step": 15500
254
  },
255
  {
256
  "epoch": 3.68,
257
- "grad_norm": 2.5567691326141357,
258
- "learning_rate": 1.3274234400184205e-06,
259
- "loss": 4.705,
260
  "step": 16000
261
  },
262
  {
263
  "epoch": 3.79,
264
- "grad_norm": 2.979523181915283,
265
- "learning_rate": 1.2122956481694683e-06,
266
- "loss": 4.6817,
267
  "step": 16500
268
  },
269
  {
270
  "epoch": 3.91,
271
- "grad_norm": 2.797534227371216,
272
- "learning_rate": 1.097167856320516e-06,
273
- "loss": 4.6712,
274
  "step": 17000
275
  },
276
  {
277
  "epoch": 4.0,
278
- "eval_accuracy": 0.3327110855829983,
279
- "eval_loss": 4.730710029602051,
280
- "eval_runtime": 371.2204,
281
- "eval_samples_per_second": 93.799,
282
- "eval_steps_per_second": 11.726,
283
  "step": 17412
284
  },
285
  {
286
  "epoch": 4.02,
287
- "grad_norm": 2.7830564975738525,
288
- "learning_rate": 9.820400644715635e-07,
289
- "loss": 4.6613,
290
  "step": 17500
291
  },
292
  {
293
  "epoch": 4.14,
294
- "grad_norm": 2.9348843097686768,
295
- "learning_rate": 8.669122726226112e-07,
296
- "loss": 4.6467,
297
  "step": 18000
298
  },
299
  {
300
  "epoch": 4.25,
301
- "grad_norm": 2.592219829559326,
302
- "learning_rate": 7.517844807736588e-07,
303
- "loss": 4.6333,
304
  "step": 18500
305
  },
306
  {
307
  "epoch": 4.36,
308
- "grad_norm": 4.5050129890441895,
309
- "learning_rate": 6.366566889247065e-07,
310
- "loss": 4.6238,
311
  "step": 19000
312
  },
313
  {
314
  "epoch": 4.48,
315
- "grad_norm": 3.7189841270446777,
316
- "learning_rate": 5.215288970757541e-07,
317
- "loss": 4.6177,
318
  "step": 19500
319
  },
320
  {
321
  "epoch": 4.59,
322
- "grad_norm": 2.521855115890503,
323
- "learning_rate": 4.064011052268018e-07,
324
- "loss": 4.6131,
325
  "step": 20000
326
  },
327
  {
328
  "epoch": 4.71,
329
- "grad_norm": 2.892822027206421,
330
- "learning_rate": 2.912733133778494e-07,
331
- "loss": 4.6138,
332
  "step": 20500
333
  },
334
  {
335
  "epoch": 4.82,
336
- "grad_norm": 3.660858631134033,
337
- "learning_rate": 1.761455215288971e-07,
338
- "loss": 4.5955,
339
  "step": 21000
340
  },
341
  {
342
  "epoch": 4.94,
343
- "grad_norm": 2.4211411476135254,
344
- "learning_rate": 6.101772967994475e-08,
345
- "loss": 4.592,
346
  "step": 21500
347
  },
348
  {
349
  "epoch": 5.0,
350
- "eval_accuracy": 0.3435956346927053,
351
- "eval_loss": 4.681754112243652,
352
- "eval_runtime": 375.04,
353
- "eval_samples_per_second": 92.843,
354
- "eval_steps_per_second": 11.607,
355
  "step": 21765
356
  }
357
  ],
 
1
  {
2
+ "best_metric": 3.9286768436431885,
3
  "best_model_checkpoint": "car_brands_image_detection/checkpoint-21765",
4
  "epoch": 5.0,
5
  "eval_steps": 500,
 
10
  "log_history": [
11
  {
12
  "epoch": 0.11,
13
+ "grad_norm": 3.6166505813598633,
14
+ "learning_rate": 2.937830992401566e-06,
15
+ "loss": 4.5799,
16
  "step": 500
17
  },
18
  {
19
  "epoch": 0.23,
20
+ "grad_norm": 2.645850419998169,
21
+ "learning_rate": 2.8687543172921943e-06,
22
+ "loss": 4.5716,
23
  "step": 1000
24
  },
25
  {
26
  "epoch": 0.34,
27
+ "grad_norm": 2.978064775466919,
28
+ "learning_rate": 2.799677642182823e-06,
29
+ "loss": 4.5286,
30
  "step": 1500
31
  },
32
  {
33
  "epoch": 0.46,
34
+ "grad_norm": 2.759573459625244,
35
+ "learning_rate": 2.7306009670734517e-06,
36
+ "loss": 4.4846,
37
  "step": 2000
38
  },
39
  {
40
  "epoch": 0.57,
41
+ "grad_norm": 2.4581897258758545,
42
+ "learning_rate": 2.66152429196408e-06,
43
+ "loss": 4.4705,
44
  "step": 2500
45
  },
46
  {
47
  "epoch": 0.69,
48
+ "grad_norm": 2.911447286605835,
49
+ "learning_rate": 2.592447616854709e-06,
50
+ "loss": 4.4394,
51
  "step": 3000
52
  },
53
  {
54
  "epoch": 0.8,
55
+ "grad_norm": 3.8367297649383545,
56
+ "learning_rate": 2.5233709417453375e-06,
57
+ "loss": 4.41,
58
  "step": 3500
59
  },
60
  {
61
  "epoch": 0.92,
62
+ "grad_norm": 2.930182456970215,
63
+ "learning_rate": 2.454294266635966e-06,
64
+ "loss": 4.385,
65
  "step": 4000
66
  },
67
  {
68
  "epoch": 1.0,
69
+ "eval_accuracy": 0.40094773118897187,
70
+ "eval_loss": 4.410472869873047,
71
+ "eval_runtime": 357.321,
72
+ "eval_samples_per_second": 97.447,
73
+ "eval_steps_per_second": 12.182,
74
  "step": 4353
75
  },
76
  {
77
  "epoch": 1.03,
78
+ "grad_norm": 3.3039791584014893,
79
+ "learning_rate": 2.3852175915265945e-06,
80
+ "loss": 4.3545,
81
  "step": 4500
82
  },
83
  {
84
  "epoch": 1.15,
85
+ "grad_norm": 3.3890039920806885,
86
+ "learning_rate": 2.316140916417223e-06,
87
+ "loss": 4.3126,
88
  "step": 5000
89
  },
90
  {
91
  "epoch": 1.26,
92
+ "grad_norm": 4.098603248596191,
93
+ "learning_rate": 2.247064241307852e-06,
94
+ "loss": 4.2967,
95
  "step": 5500
96
  },
97
  {
98
  "epoch": 1.38,
99
+ "grad_norm": 3.3784146308898926,
100
+ "learning_rate": 2.1779875661984803e-06,
101
+ "loss": 4.2693,
102
  "step": 6000
103
  },
104
  {
105
  "epoch": 1.49,
106
+ "grad_norm": 3.1738123893737793,
107
+ "learning_rate": 2.1089108910891088e-06,
108
+ "loss": 4.2466,
109
  "step": 6500
110
  },
111
  {
112
  "epoch": 1.61,
113
+ "grad_norm": 3.7148706912994385,
114
+ "learning_rate": 2.0398342159797372e-06,
115
+ "loss": 4.2021,
116
  "step": 7000
117
  },
118
  {
119
  "epoch": 1.72,
120
+ "grad_norm": 3.290153741836548,
121
+ "learning_rate": 1.970757540870366e-06,
122
+ "loss": 4.1814,
123
  "step": 7500
124
  },
125
  {
126
  "epoch": 1.84,
127
+ "grad_norm": 3.142911672592163,
128
+ "learning_rate": 1.9016808657609948e-06,
129
+ "loss": 4.1626,
130
  "step": 8000
131
  },
132
  {
133
  "epoch": 1.95,
134
+ "grad_norm": 4.143848896026611,
135
+ "learning_rate": 1.8326041906516235e-06,
136
+ "loss": 4.1376,
137
  "step": 8500
138
  },
139
  {
140
  "epoch": 2.0,
141
+ "eval_accuracy": 0.43512349224583574,
142
+ "eval_loss": 4.2049126625061035,
143
+ "eval_runtime": 371.7808,
144
+ "eval_samples_per_second": 93.657,
145
+ "eval_steps_per_second": 11.709,
146
  "step": 8706
147
  },
148
  {
149
  "epoch": 2.07,
150
+ "grad_norm": 3.016541004180908,
151
+ "learning_rate": 1.763527515542252e-06,
152
+ "loss": 4.1126,
153
  "step": 9000
154
  },
155
  {
156
  "epoch": 2.18,
157
+ "grad_norm": 3.141395092010498,
158
+ "learning_rate": 1.6944508404328806e-06,
159
+ "loss": 4.0881,
160
  "step": 9500
161
  },
162
  {
163
  "epoch": 2.3,
164
+ "grad_norm": 4.218649864196777,
165
+ "learning_rate": 1.6253741653235091e-06,
166
+ "loss": 4.0854,
167
  "step": 10000
168
  },
169
  {
170
  "epoch": 2.41,
171
+ "grad_norm": 3.368730306625366,
172
+ "learning_rate": 1.5562974902141378e-06,
173
+ "loss": 4.0432,
174
  "step": 10500
175
  },
176
  {
177
  "epoch": 2.53,
178
+ "grad_norm": 3.461085557937622,
179
+ "learning_rate": 1.4872208151047663e-06,
180
+ "loss": 4.0324,
181
  "step": 11000
182
  },
183
  {
184
  "epoch": 2.64,
185
+ "grad_norm": 3.5780344009399414,
186
+ "learning_rate": 1.418144139995395e-06,
187
+ "loss": 4.0083,
188
  "step": 11500
189
  },
190
  {
191
  "epoch": 2.76,
192
+ "grad_norm": 3.727916955947876,
193
+ "learning_rate": 1.3490674648860236e-06,
194
+ "loss": 4.0215,
195
  "step": 12000
196
  },
197
  {
198
  "epoch": 2.87,
199
+ "grad_norm": 3.84293532371521,
200
+ "learning_rate": 1.279990789776652e-06,
201
+ "loss": 3.9905,
202
  "step": 12500
203
  },
204
  {
205
  "epoch": 2.99,
206
+ "grad_norm": 4.721088409423828,
207
+ "learning_rate": 1.2109141146672808e-06,
208
+ "loss": 3.9723,
209
  "step": 13000
210
  },
211
  {
212
  "epoch": 3.0,
213
+ "eval_accuracy": 0.4607696726019529,
214
+ "eval_loss": 4.052371025085449,
215
+ "eval_runtime": 385.9466,
216
+ "eval_samples_per_second": 90.22,
217
+ "eval_steps_per_second": 11.279,
218
  "step": 13059
219
  },
220
  {
221
  "epoch": 3.1,
222
+ "grad_norm": 4.341360092163086,
223
+ "learning_rate": 1.1418374395579092e-06,
224
+ "loss": 3.9604,
225
  "step": 13500
226
  },
227
  {
228
  "epoch": 3.22,
229
+ "grad_norm": 4.207143306732178,
230
+ "learning_rate": 1.0727607644485377e-06,
231
+ "loss": 3.9293,
232
  "step": 14000
233
  },
234
  {
235
  "epoch": 3.33,
236
+ "grad_norm": 4.3804850578308105,
237
+ "learning_rate": 1.0036840893391666e-06,
238
+ "loss": 3.9193,
239
  "step": 14500
240
  },
241
  {
242
  "epoch": 3.45,
243
+ "grad_norm": 3.7782533168792725,
244
+ "learning_rate": 9.346074142297951e-07,
245
+ "loss": 3.9125,
246
  "step": 15000
247
  },
248
  {
249
  "epoch": 3.56,
250
+ "grad_norm": 3.5943124294281006,
251
+ "learning_rate": 8.655307391204237e-07,
252
+ "loss": 3.8896,
253
  "step": 15500
254
  },
255
  {
256
  "epoch": 3.68,
257
+ "grad_norm": 3.702357053756714,
258
+ "learning_rate": 7.964540640110522e-07,
259
+ "loss": 3.9014,
260
  "step": 16000
261
  },
262
  {
263
  "epoch": 3.79,
264
+ "grad_norm": 3.796862840652466,
265
+ "learning_rate": 7.273773889016809e-07,
266
+ "loss": 3.891,
267
  "step": 16500
268
  },
269
  {
270
  "epoch": 3.91,
271
+ "grad_norm": 4.275099277496338,
272
+ "learning_rate": 6.583007137923095e-07,
273
+ "loss": 3.8704,
274
  "step": 17000
275
  },
276
  {
277
  "epoch": 4.0,
278
+ "eval_accuracy": 0.4705054566341183,
279
+ "eval_loss": 3.9602584838867188,
280
+ "eval_runtime": 391.9958,
281
+ "eval_samples_per_second": 88.827,
282
+ "eval_steps_per_second": 11.105,
283
  "step": 17412
284
  },
285
  {
286
  "epoch": 4.02,
287
+ "grad_norm": 3.892676591873169,
288
+ "learning_rate": 5.892240386829381e-07,
289
+ "loss": 3.8528,
290
  "step": 17500
291
  },
292
  {
293
  "epoch": 4.14,
294
+ "grad_norm": 3.8556807041168213,
295
+ "learning_rate": 5.201473635735666e-07,
296
+ "loss": 3.8603,
297
  "step": 18000
298
  },
299
  {
300
  "epoch": 4.25,
301
+ "grad_norm": 4.647615909576416,
302
+ "learning_rate": 4.5107068846419527e-07,
303
+ "loss": 3.8373,
304
  "step": 18500
305
  },
306
  {
307
  "epoch": 4.36,
308
+ "grad_norm": 5.085917949676514,
309
+ "learning_rate": 3.819940133548239e-07,
310
+ "loss": 3.8558,
311
  "step": 19000
312
  },
313
  {
314
  "epoch": 4.48,
315
+ "grad_norm": 3.4918742179870605,
316
+ "learning_rate": 3.1291733824545247e-07,
317
+ "loss": 3.8305,
318
  "step": 19500
319
  },
320
  {
321
  "epoch": 4.59,
322
+ "grad_norm": 5.628491401672363,
323
+ "learning_rate": 2.4384066313608105e-07,
324
+ "loss": 3.8442,
325
  "step": 20000
326
  },
327
  {
328
  "epoch": 4.71,
329
+ "grad_norm": 6.177685737609863,
330
+ "learning_rate": 1.7476398802670965e-07,
331
+ "loss": 3.821,
332
  "step": 20500
333
  },
334
  {
335
  "epoch": 4.82,
336
+ "grad_norm": 3.602433681488037,
337
+ "learning_rate": 1.0568731291733824e-07,
338
+ "loss": 3.8144,
339
  "step": 21000
340
  },
341
  {
342
  "epoch": 4.94,
343
+ "grad_norm": 3.561356782913208,
344
+ "learning_rate": 3.6610637807966844e-08,
345
+ "loss": 3.8221,
346
  "step": 21500
347
  },
348
  {
349
  "epoch": 5.0,
350
+ "eval_accuracy": 0.4763928776565192,
351
+ "eval_loss": 3.9286768436431885,
352
+ "eval_runtime": 356.658,
353
+ "eval_samples_per_second": 97.629,
354
+ "eval_steps_per_second": 12.205,
355
  "step": 21765
356
  }
357
  ],
checkpoint-21765/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6ae6c238eb85758efff0479b127b200a401be9b39ac85eab20d827ebda8bfcfd
3
  size 4411
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f7d6ebaabd45a62aff4f53a34471baa85aa1bc1190c00a62cccf0cf6bcbae76
3
  size 4411
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "google/vit-base-patch16-224-in21k",
3
  "architectures": [
4
  "ViTForImageClassification"
5
  ],
 
1
  {
2
+ "_name_or_path": "dima806/car_brands_image_detection",
3
  "architectures": [
4
  "ViTForImageClassification"
5
  ],
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ab8b3a77790437806c8c01cc04b3d5d18cc3a92544a63a2bc367d8370517861d
3
  size 344211388
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cda4fcd3994c0f781b29c079ea9a736c6cef52f288246182579e7170492d6b3
3
  size 344211388
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6ae6c238eb85758efff0479b127b200a401be9b39ac85eab20d827ebda8bfcfd
3
  size 4411
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f7d6ebaabd45a62aff4f53a34471baa85aa1bc1190c00a62cccf0cf6bcbae76
3
  size 4411