sam1120 commited on
Commit
204c09f
·
1 Parent(s): aa07fe8

Training in progress, step 80

Browse files
checkpoint-80/config.json ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nvidia/mit-b0",
3
+ "architectures": [
4
+ "SegformerForSemanticSegmentation"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "classifier_dropout_prob": 0.1,
8
+ "decoder_hidden_size": 256,
9
+ "depths": [
10
+ 2,
11
+ 2,
12
+ 2,
13
+ 2
14
+ ],
15
+ "downsampling_rates": [
16
+ 1,
17
+ 4,
18
+ 8,
19
+ 16
20
+ ],
21
+ "drop_path_rate": 0.1,
22
+ "hidden_act": "gelu",
23
+ "hidden_dropout_prob": 0.0,
24
+ "hidden_sizes": [
25
+ 32,
26
+ 64,
27
+ 160,
28
+ 256
29
+ ],
30
+ "id2label": {
31
+ "0": "unlabeled",
32
+ "1": "parking",
33
+ "2": "unparking"
34
+ },
35
+ "image_size": 224,
36
+ "initializer_range": 0.02,
37
+ "label2id": {
38
+ "parking": 1,
39
+ "unlabeled": 0,
40
+ "unparking": 2
41
+ },
42
+ "layer_norm_eps": 1e-06,
43
+ "mlp_ratios": [
44
+ 4,
45
+ 4,
46
+ 4,
47
+ 4
48
+ ],
49
+ "model_type": "segformer",
50
+ "num_attention_heads": [
51
+ 1,
52
+ 2,
53
+ 5,
54
+ 8
55
+ ],
56
+ "num_channels": 6,
57
+ "num_encoder_blocks": 4,
58
+ "patch_sizes": [
59
+ 7,
60
+ 3,
61
+ 3,
62
+ 3
63
+ ],
64
+ "reshape_last_stage": true,
65
+ "semantic_loss_ignore_index": 255,
66
+ "sr_ratios": [
67
+ 8,
68
+ 4,
69
+ 2,
70
+ 1
71
+ ],
72
+ "strides": [
73
+ 4,
74
+ 2,
75
+ 2,
76
+ 2
77
+ ],
78
+ "torch_dtype": "float32",
79
+ "transformers_version": "4.30.2"
80
+ }
checkpoint-80/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:894fdfb962ff4183b77983ed6327565aec487c416c658b470ef202b7dbbab6e0
3
+ size 29876485
checkpoint-80/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ff9cf1c4a4132b652d1e86c7882869ab70cc87e3eeba14627359a6274d0e03d
3
+ size 14951629
checkpoint-80/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea9ce2380be7a8e7e43c123bba77114e65d5da075ec1d1ffadcf9dc8a1707f61
3
+ size 14575
checkpoint-80/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb00d878ff9397b8ee8fad7a50969c10a88b2fc551048590f80de9713ac53079
3
+ size 627
checkpoint-80/trainer_state.json ADDED
@@ -0,0 +1,564 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.08224750310182571,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/parking-utcustom-train-SF-RGBD-b0_2/checkpoint-80",
4
+ "epoch": 80.0,
5
+ "global_step": 80,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "learning_rate": 2.5e-05,
13
+ "loss": 1.0676,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 2.0,
18
+ "learning_rate": 5e-05,
19
+ "loss": 1.0607,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 3.0,
24
+ "learning_rate": 7.500000000000001e-05,
25
+ "loss": 1.0526,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 4.0,
30
+ "learning_rate": 0.0001,
31
+ "loss": 1.0287,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 5.0,
36
+ "learning_rate": 0.000125,
37
+ "loss": 1.0081,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 6.0,
42
+ "learning_rate": 0.00015000000000000001,
43
+ "loss": 0.988,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 7.0,
48
+ "learning_rate": 0.000175,
49
+ "loss": 0.9579,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 8.0,
54
+ "learning_rate": 0.0002,
55
+ "loss": 0.9471,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 9.0,
60
+ "learning_rate": 0.00019859154929577466,
61
+ "loss": 0.9084,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 10.0,
66
+ "learning_rate": 0.0001971830985915493,
67
+ "loss": 0.8671,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 11.0,
72
+ "learning_rate": 0.00019577464788732396,
73
+ "loss": 0.8135,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 12.0,
78
+ "learning_rate": 0.00019436619718309861,
79
+ "loss": 0.8125,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 13.0,
84
+ "learning_rate": 0.00019295774647887326,
85
+ "loss": 0.7705,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 14.0,
90
+ "learning_rate": 0.0001915492957746479,
91
+ "loss": 0.7599,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 15.0,
96
+ "learning_rate": 0.00019014084507042254,
97
+ "loss": 0.6954,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 16.0,
102
+ "learning_rate": 0.0001887323943661972,
103
+ "loss": 0.6877,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 17.0,
108
+ "learning_rate": 0.00018732394366197184,
109
+ "loss": 0.653,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 18.0,
114
+ "learning_rate": 0.0001859154929577465,
115
+ "loss": 0.6335,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 19.0,
120
+ "learning_rate": 0.00018450704225352114,
121
+ "loss": 0.6099,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 20.0,
126
+ "learning_rate": 0.0001830985915492958,
127
+ "loss": 0.5832,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 20.0,
132
+ "eval_accuracy_parking": NaN,
133
+ "eval_accuracy_unlabeled": NaN,
134
+ "eval_accuracy_unparking": 1.0,
135
+ "eval_iou_parking": NaN,
136
+ "eval_iou_unlabeled": NaN,
137
+ "eval_iou_unparking": 1.0,
138
+ "eval_loss": 0.5894019603729248,
139
+ "eval_mean_accuracy": 1.0,
140
+ "eval_mean_iou": 1.0,
141
+ "eval_overall_accuracy": 1.0,
142
+ "eval_runtime": 0.647,
143
+ "eval_samples_per_second": 1.546,
144
+ "eval_steps_per_second": 1.546,
145
+ "step": 20
146
+ },
147
+ {
148
+ "epoch": 21.0,
149
+ "learning_rate": 0.00018169014084507045,
150
+ "loss": 0.5717,
151
+ "step": 21
152
+ },
153
+ {
154
+ "epoch": 22.0,
155
+ "learning_rate": 0.00018028169014084507,
156
+ "loss": 0.5303,
157
+ "step": 22
158
+ },
159
+ {
160
+ "epoch": 23.0,
161
+ "learning_rate": 0.00017887323943661972,
162
+ "loss": 0.5253,
163
+ "step": 23
164
+ },
165
+ {
166
+ "epoch": 24.0,
167
+ "learning_rate": 0.00017746478873239437,
168
+ "loss": 0.4964,
169
+ "step": 24
170
+ },
171
+ {
172
+ "epoch": 25.0,
173
+ "learning_rate": 0.00017605633802816902,
174
+ "loss": 0.4755,
175
+ "step": 25
176
+ },
177
+ {
178
+ "epoch": 26.0,
179
+ "learning_rate": 0.00017464788732394365,
180
+ "loss": 0.464,
181
+ "step": 26
182
+ },
183
+ {
184
+ "epoch": 27.0,
185
+ "learning_rate": 0.0001732394366197183,
186
+ "loss": 0.4806,
187
+ "step": 27
188
+ },
189
+ {
190
+ "epoch": 28.0,
191
+ "learning_rate": 0.00017183098591549295,
192
+ "loss": 0.4546,
193
+ "step": 28
194
+ },
195
+ {
196
+ "epoch": 29.0,
197
+ "learning_rate": 0.0001704225352112676,
198
+ "loss": 0.4329,
199
+ "step": 29
200
+ },
201
+ {
202
+ "epoch": 30.0,
203
+ "learning_rate": 0.00016901408450704225,
204
+ "loss": 0.4182,
205
+ "step": 30
206
+ },
207
+ {
208
+ "epoch": 31.0,
209
+ "learning_rate": 0.0001676056338028169,
210
+ "loss": 0.4104,
211
+ "step": 31
212
+ },
213
+ {
214
+ "epoch": 32.0,
215
+ "learning_rate": 0.00016619718309859155,
216
+ "loss": 0.3924,
217
+ "step": 32
218
+ },
219
+ {
220
+ "epoch": 33.0,
221
+ "learning_rate": 0.0001647887323943662,
222
+ "loss": 0.3838,
223
+ "step": 33
224
+ },
225
+ {
226
+ "epoch": 34.0,
227
+ "learning_rate": 0.00016338028169014086,
228
+ "loss": 0.3689,
229
+ "step": 34
230
+ },
231
+ {
232
+ "epoch": 35.0,
233
+ "learning_rate": 0.0001619718309859155,
234
+ "loss": 0.3841,
235
+ "step": 35
236
+ },
237
+ {
238
+ "epoch": 36.0,
239
+ "learning_rate": 0.00016056338028169016,
240
+ "loss": 0.3534,
241
+ "step": 36
242
+ },
243
+ {
244
+ "epoch": 37.0,
245
+ "learning_rate": 0.0001591549295774648,
246
+ "loss": 0.3419,
247
+ "step": 37
248
+ },
249
+ {
250
+ "epoch": 38.0,
251
+ "learning_rate": 0.00015774647887323943,
252
+ "loss": 0.3327,
253
+ "step": 38
254
+ },
255
+ {
256
+ "epoch": 39.0,
257
+ "learning_rate": 0.00015633802816901408,
258
+ "loss": 0.3122,
259
+ "step": 39
260
+ },
261
+ {
262
+ "epoch": 40.0,
263
+ "learning_rate": 0.00015492957746478874,
264
+ "loss": 0.3162,
265
+ "step": 40
266
+ },
267
+ {
268
+ "epoch": 40.0,
269
+ "eval_accuracy_parking": NaN,
270
+ "eval_accuracy_unlabeled": NaN,
271
+ "eval_accuracy_unparking": 1.0,
272
+ "eval_iou_parking": NaN,
273
+ "eval_iou_unlabeled": NaN,
274
+ "eval_iou_unparking": 1.0,
275
+ "eval_loss": 0.26859113574028015,
276
+ "eval_mean_accuracy": 1.0,
277
+ "eval_mean_iou": 1.0,
278
+ "eval_overall_accuracy": 1.0,
279
+ "eval_runtime": 0.6555,
280
+ "eval_samples_per_second": 1.525,
281
+ "eval_steps_per_second": 1.525,
282
+ "step": 40
283
+ },
284
+ {
285
+ "epoch": 41.0,
286
+ "learning_rate": 0.00015352112676056339,
287
+ "loss": 0.3003,
288
+ "step": 41
289
+ },
290
+ {
291
+ "epoch": 42.0,
292
+ "learning_rate": 0.00015211267605633804,
293
+ "loss": 0.3094,
294
+ "step": 42
295
+ },
296
+ {
297
+ "epoch": 43.0,
298
+ "learning_rate": 0.0001507042253521127,
299
+ "loss": 0.2852,
300
+ "step": 43
301
+ },
302
+ {
303
+ "epoch": 44.0,
304
+ "learning_rate": 0.00014929577464788734,
305
+ "loss": 0.2808,
306
+ "step": 44
307
+ },
308
+ {
309
+ "epoch": 45.0,
310
+ "learning_rate": 0.000147887323943662,
311
+ "loss": 0.2828,
312
+ "step": 45
313
+ },
314
+ {
315
+ "epoch": 46.0,
316
+ "learning_rate": 0.00014647887323943664,
317
+ "loss": 0.2714,
318
+ "step": 46
319
+ },
320
+ {
321
+ "epoch": 47.0,
322
+ "learning_rate": 0.0001450704225352113,
323
+ "loss": 0.26,
324
+ "step": 47
325
+ },
326
+ {
327
+ "epoch": 48.0,
328
+ "learning_rate": 0.00014366197183098594,
329
+ "loss": 0.2601,
330
+ "step": 48
331
+ },
332
+ {
333
+ "epoch": 49.0,
334
+ "learning_rate": 0.00014225352112676057,
335
+ "loss": 0.2561,
336
+ "step": 49
337
+ },
338
+ {
339
+ "epoch": 50.0,
340
+ "learning_rate": 0.00014084507042253522,
341
+ "loss": 0.2452,
342
+ "step": 50
343
+ },
344
+ {
345
+ "epoch": 51.0,
346
+ "learning_rate": 0.00013943661971830987,
347
+ "loss": 0.2405,
348
+ "step": 51
349
+ },
350
+ {
351
+ "epoch": 52.0,
352
+ "learning_rate": 0.00013802816901408452,
353
+ "loss": 0.2409,
354
+ "step": 52
355
+ },
356
+ {
357
+ "epoch": 53.0,
358
+ "learning_rate": 0.00013661971830985914,
359
+ "loss": 0.2354,
360
+ "step": 53
361
+ },
362
+ {
363
+ "epoch": 54.0,
364
+ "learning_rate": 0.0001352112676056338,
365
+ "loss": 0.2311,
366
+ "step": 54
367
+ },
368
+ {
369
+ "epoch": 55.0,
370
+ "learning_rate": 0.00013380281690140845,
371
+ "loss": 0.2237,
372
+ "step": 55
373
+ },
374
+ {
375
+ "epoch": 56.0,
376
+ "learning_rate": 0.0001323943661971831,
377
+ "loss": 0.2157,
378
+ "step": 56
379
+ },
380
+ {
381
+ "epoch": 57.0,
382
+ "learning_rate": 0.00013098591549295775,
383
+ "loss": 0.2127,
384
+ "step": 57
385
+ },
386
+ {
387
+ "epoch": 58.0,
388
+ "learning_rate": 0.0001295774647887324,
389
+ "loss": 0.2114,
390
+ "step": 58
391
+ },
392
+ {
393
+ "epoch": 59.0,
394
+ "learning_rate": 0.00012816901408450705,
395
+ "loss": 0.2074,
396
+ "step": 59
397
+ },
398
+ {
399
+ "epoch": 60.0,
400
+ "learning_rate": 0.0001267605633802817,
401
+ "loss": 0.2152,
402
+ "step": 60
403
+ },
404
+ {
405
+ "epoch": 60.0,
406
+ "eval_accuracy_parking": NaN,
407
+ "eval_accuracy_unlabeled": NaN,
408
+ "eval_accuracy_unparking": 1.0,
409
+ "eval_iou_parking": NaN,
410
+ "eval_iou_unlabeled": NaN,
411
+ "eval_iou_unparking": 1.0,
412
+ "eval_loss": 0.13486240804195404,
413
+ "eval_mean_accuracy": 1.0,
414
+ "eval_mean_iou": 1.0,
415
+ "eval_overall_accuracy": 1.0,
416
+ "eval_runtime": 0.5904,
417
+ "eval_samples_per_second": 1.694,
418
+ "eval_steps_per_second": 1.694,
419
+ "step": 60
420
+ },
421
+ {
422
+ "epoch": 61.0,
423
+ "learning_rate": 0.00012535211267605635,
424
+ "loss": 0.1947,
425
+ "step": 61
426
+ },
427
+ {
428
+ "epoch": 62.0,
429
+ "learning_rate": 0.00012394366197183098,
430
+ "loss": 0.1956,
431
+ "step": 62
432
+ },
433
+ {
434
+ "epoch": 63.0,
435
+ "learning_rate": 0.00012253521126760563,
436
+ "loss": 0.189,
437
+ "step": 63
438
+ },
439
+ {
440
+ "epoch": 64.0,
441
+ "learning_rate": 0.00012112676056338028,
442
+ "loss": 0.1911,
443
+ "step": 64
444
+ },
445
+ {
446
+ "epoch": 65.0,
447
+ "learning_rate": 0.00011971830985915493,
448
+ "loss": 0.1844,
449
+ "step": 65
450
+ },
451
+ {
452
+ "epoch": 66.0,
453
+ "learning_rate": 0.00011830985915492958,
454
+ "loss": 0.1815,
455
+ "step": 66
456
+ },
457
+ {
458
+ "epoch": 67.0,
459
+ "learning_rate": 0.00011690140845070423,
460
+ "loss": 0.1828,
461
+ "step": 67
462
+ },
463
+ {
464
+ "epoch": 68.0,
465
+ "learning_rate": 0.00011549295774647888,
466
+ "loss": 0.1817,
467
+ "step": 68
468
+ },
469
+ {
470
+ "epoch": 69.0,
471
+ "learning_rate": 0.00011408450704225353,
472
+ "loss": 0.1786,
473
+ "step": 69
474
+ },
475
+ {
476
+ "epoch": 70.0,
477
+ "learning_rate": 0.00011267605633802819,
478
+ "loss": 0.174,
479
+ "step": 70
480
+ },
481
+ {
482
+ "epoch": 71.0,
483
+ "learning_rate": 0.00011126760563380282,
484
+ "loss": 0.1749,
485
+ "step": 71
486
+ },
487
+ {
488
+ "epoch": 72.0,
489
+ "learning_rate": 0.00010985915492957747,
490
+ "loss": 0.1779,
491
+ "step": 72
492
+ },
493
+ {
494
+ "epoch": 73.0,
495
+ "learning_rate": 0.00010845070422535213,
496
+ "loss": 0.1612,
497
+ "step": 73
498
+ },
499
+ {
500
+ "epoch": 74.0,
501
+ "learning_rate": 0.00010704225352112676,
502
+ "loss": 0.1689,
503
+ "step": 74
504
+ },
505
+ {
506
+ "epoch": 75.0,
507
+ "learning_rate": 0.0001056338028169014,
508
+ "loss": 0.1581,
509
+ "step": 75
510
+ },
511
+ {
512
+ "epoch": 76.0,
513
+ "learning_rate": 0.00010422535211267605,
514
+ "loss": 0.1611,
515
+ "step": 76
516
+ },
517
+ {
518
+ "epoch": 77.0,
519
+ "learning_rate": 0.0001028169014084507,
520
+ "loss": 0.1558,
521
+ "step": 77
522
+ },
523
+ {
524
+ "epoch": 78.0,
525
+ "learning_rate": 0.00010140845070422535,
526
+ "loss": 0.162,
527
+ "step": 78
528
+ },
529
+ {
530
+ "epoch": 79.0,
531
+ "learning_rate": 0.0001,
532
+ "loss": 0.1549,
533
+ "step": 79
534
+ },
535
+ {
536
+ "epoch": 80.0,
537
+ "learning_rate": 9.859154929577466e-05,
538
+ "loss": 0.1517,
539
+ "step": 80
540
+ },
541
+ {
542
+ "epoch": 80.0,
543
+ "eval_accuracy_parking": NaN,
544
+ "eval_accuracy_unlabeled": NaN,
545
+ "eval_accuracy_unparking": 1.0,
546
+ "eval_iou_parking": NaN,
547
+ "eval_iou_unlabeled": NaN,
548
+ "eval_iou_unparking": 1.0,
549
+ "eval_loss": 0.08224750310182571,
550
+ "eval_mean_accuracy": 1.0,
551
+ "eval_mean_iou": 1.0,
552
+ "eval_overall_accuracy": 1.0,
553
+ "eval_runtime": 0.6246,
554
+ "eval_samples_per_second": 1.601,
555
+ "eval_steps_per_second": 1.601,
556
+ "step": 80
557
+ }
558
+ ],
559
+ "max_steps": 150,
560
+ "num_train_epochs": 150,
561
+ "total_flos": 4.493149300850688e+16,
562
+ "trial_name": null,
563
+ "trial_params": null
564
+ }
checkpoint-80/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:804401515ef0003858bfad92f461ee5ece2e100c4604b6034e96166a7fd27fca
3
+ size 4219
config.json ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nvidia/mit-b0",
3
+ "architectures": [
4
+ "SegformerForSemanticSegmentation"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "classifier_dropout_prob": 0.1,
8
+ "decoder_hidden_size": 256,
9
+ "depths": [
10
+ 2,
11
+ 2,
12
+ 2,
13
+ 2
14
+ ],
15
+ "downsampling_rates": [
16
+ 1,
17
+ 4,
18
+ 8,
19
+ 16
20
+ ],
21
+ "drop_path_rate": 0.1,
22
+ "hidden_act": "gelu",
23
+ "hidden_dropout_prob": 0.0,
24
+ "hidden_sizes": [
25
+ 32,
26
+ 64,
27
+ 160,
28
+ 256
29
+ ],
30
+ "id2label": {
31
+ "0": "unlabeled",
32
+ "1": "parking",
33
+ "2": "unparking"
34
+ },
35
+ "image_size": 224,
36
+ "initializer_range": 0.02,
37
+ "label2id": {
38
+ "parking": 1,
39
+ "unlabeled": 0,
40
+ "unparking": 2
41
+ },
42
+ "layer_norm_eps": 1e-06,
43
+ "mlp_ratios": [
44
+ 4,
45
+ 4,
46
+ 4,
47
+ 4
48
+ ],
49
+ "model_type": "segformer",
50
+ "num_attention_heads": [
51
+ 1,
52
+ 2,
53
+ 5,
54
+ 8
55
+ ],
56
+ "num_channels": 6,
57
+ "num_encoder_blocks": 4,
58
+ "patch_sizes": [
59
+ 7,
60
+ 3,
61
+ 3,
62
+ 3
63
+ ],
64
+ "reshape_last_stage": true,
65
+ "semantic_loss_ignore_index": 255,
66
+ "sr_ratios": [
67
+ 8,
68
+ 4,
69
+ 2,
70
+ 1
71
+ ],
72
+ "strides": [
73
+ 4,
74
+ 2,
75
+ 2,
76
+ 2
77
+ ],
78
+ "torch_dtype": "float32",
79
+ "transformers_version": "4.30.2"
80
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ff9cf1c4a4132b652d1e86c7882869ab70cc87e3eeba14627359a6274d0e03d
3
+ size 14951629
runs/Mar04_04-51-03_robovision.csres.utexas.edu/events.out.tfevents.1709549469.robovision.csres.utexas.edu.961888.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ab3c8aa1678b617493b7501be3d84d8b522d7a5bdb8aafa6b772103ef4a58d1
3
+ size 20217
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:804401515ef0003858bfad92f461ee5ece2e100c4604b6034e96166a7fd27fca
3
+ size 4219