sam1120 commited on
Commit
ea5466d
1 Parent(s): e35d6ec

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 sha256:59100297e734434bed1ae45368d1fc9bd7cee44a1d06ed144f046e505951aa03
3
+ size 29876485
checkpoint-80/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83f2596418a3a739b7669f79e9f501dc6776088efdb97e5dc28e31891c5f635d
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:e6e29bf88a6121fdc7c85f7bbc70e5ae0a23bf2005e809a6b82f7687f11b3d00
3
+ size 627
checkpoint-80/trainer_state.json ADDED
@@ -0,0 +1,564 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.020909180864691734,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/parking-utcustom-train-SF-RGBD-b0_6/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": 5e-05,
13
+ "loss": 1.1298,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 2.0,
18
+ "learning_rate": 0.0001,
19
+ "loss": 1.1302,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 3.0,
24
+ "learning_rate": 0.00015000000000000001,
25
+ "loss": 1.1043,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 4.0,
30
+ "learning_rate": 0.0002,
31
+ "loss": 1.0838,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 5.0,
36
+ "learning_rate": 0.00025,
37
+ "loss": 1.0484,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 6.0,
42
+ "learning_rate": 0.00030000000000000003,
43
+ "loss": 1.0053,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 7.0,
48
+ "learning_rate": 0.00035,
49
+ "loss": 0.9466,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 8.0,
54
+ "learning_rate": 0.0004,
55
+ "loss": 0.9073,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 9.0,
60
+ "learning_rate": 0.0003971830985915493,
61
+ "loss": 0.8271,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 10.0,
66
+ "learning_rate": 0.0003943661971830986,
67
+ "loss": 0.7486,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 11.0,
72
+ "learning_rate": 0.0003915492957746479,
73
+ "loss": 0.6685,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 12.0,
78
+ "learning_rate": 0.00038873239436619723,
79
+ "loss": 0.646,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 13.0,
84
+ "learning_rate": 0.00038591549295774653,
85
+ "loss": 0.5879,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 14.0,
90
+ "learning_rate": 0.0003830985915492958,
91
+ "loss": 0.5739,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 15.0,
96
+ "learning_rate": 0.0003802816901408451,
97
+ "loss": 0.4959,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 16.0,
102
+ "learning_rate": 0.0003774647887323944,
103
+ "loss": 0.4776,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 17.0,
108
+ "learning_rate": 0.0003746478873239437,
109
+ "loss": 0.4419,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 18.0,
114
+ "learning_rate": 0.000371830985915493,
115
+ "loss": 0.4183,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 19.0,
120
+ "learning_rate": 0.0003690140845070423,
121
+ "loss": 0.3886,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 20.0,
126
+ "learning_rate": 0.0003661971830985916,
127
+ "loss": 0.3631,
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": 0.3717308044433594,
139
+ "eval_mean_accuracy": 1.0,
140
+ "eval_mean_iou": 1.0,
141
+ "eval_overall_accuracy": 1.0,
142
+ "eval_runtime": 0.6855,
143
+ "eval_samples_per_second": 1.459,
144
+ "eval_steps_per_second": 1.459,
145
+ "step": 20
146
+ },
147
+ {
148
+ "epoch": 21.0,
149
+ "learning_rate": 0.0003633802816901409,
150
+ "loss": 0.3486,
151
+ "step": 21
152
+ },
153
+ {
154
+ "epoch": 22.0,
155
+ "learning_rate": 0.00036056338028169014,
156
+ "loss": 0.3251,
157
+ "step": 22
158
+ },
159
+ {
160
+ "epoch": 23.0,
161
+ "learning_rate": 0.00035774647887323944,
162
+ "loss": 0.3112,
163
+ "step": 23
164
+ },
165
+ {
166
+ "epoch": 24.0,
167
+ "learning_rate": 0.00035492957746478874,
168
+ "loss": 0.2953,
169
+ "step": 24
170
+ },
171
+ {
172
+ "epoch": 25.0,
173
+ "learning_rate": 0.00035211267605633805,
174
+ "loss": 0.2822,
175
+ "step": 25
176
+ },
177
+ {
178
+ "epoch": 26.0,
179
+ "learning_rate": 0.0003492957746478873,
180
+ "loss": 0.2697,
181
+ "step": 26
182
+ },
183
+ {
184
+ "epoch": 27.0,
185
+ "learning_rate": 0.0003464788732394366,
186
+ "loss": 0.2631,
187
+ "step": 27
188
+ },
189
+ {
190
+ "epoch": 28.0,
191
+ "learning_rate": 0.0003436619718309859,
192
+ "loss": 0.2537,
193
+ "step": 28
194
+ },
195
+ {
196
+ "epoch": 29.0,
197
+ "learning_rate": 0.0003408450704225352,
198
+ "loss": 0.2388,
199
+ "step": 29
200
+ },
201
+ {
202
+ "epoch": 30.0,
203
+ "learning_rate": 0.0003380281690140845,
204
+ "loss": 0.2289,
205
+ "step": 30
206
+ },
207
+ {
208
+ "epoch": 31.0,
209
+ "learning_rate": 0.0003352112676056338,
210
+ "loss": 0.2221,
211
+ "step": 31
212
+ },
213
+ {
214
+ "epoch": 32.0,
215
+ "learning_rate": 0.0003323943661971831,
216
+ "loss": 0.2142,
217
+ "step": 32
218
+ },
219
+ {
220
+ "epoch": 33.0,
221
+ "learning_rate": 0.0003295774647887324,
222
+ "loss": 0.2013,
223
+ "step": 33
224
+ },
225
+ {
226
+ "epoch": 34.0,
227
+ "learning_rate": 0.0003267605633802817,
228
+ "loss": 0.1996,
229
+ "step": 34
230
+ },
231
+ {
232
+ "epoch": 35.0,
233
+ "learning_rate": 0.000323943661971831,
234
+ "loss": 0.1904,
235
+ "step": 35
236
+ },
237
+ {
238
+ "epoch": 36.0,
239
+ "learning_rate": 0.0003211267605633803,
240
+ "loss": 0.185,
241
+ "step": 36
242
+ },
243
+ {
244
+ "epoch": 37.0,
245
+ "learning_rate": 0.0003183098591549296,
246
+ "loss": 0.1769,
247
+ "step": 37
248
+ },
249
+ {
250
+ "epoch": 38.0,
251
+ "learning_rate": 0.00031549295774647887,
252
+ "loss": 0.175,
253
+ "step": 38
254
+ },
255
+ {
256
+ "epoch": 39.0,
257
+ "learning_rate": 0.00031267605633802817,
258
+ "loss": 0.1644,
259
+ "step": 39
260
+ },
261
+ {
262
+ "epoch": 40.0,
263
+ "learning_rate": 0.00030985915492957747,
264
+ "loss": 0.1606,
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": 0.08129558712244034,
276
+ "eval_mean_accuracy": 1.0,
277
+ "eval_mean_iou": 1.0,
278
+ "eval_overall_accuracy": 1.0,
279
+ "eval_runtime": 0.7101,
280
+ "eval_samples_per_second": 1.408,
281
+ "eval_steps_per_second": 1.408,
282
+ "step": 40
283
+ },
284
+ {
285
+ "epoch": 41.0,
286
+ "learning_rate": 0.00030704225352112677,
287
+ "loss": 0.1524,
288
+ "step": 41
289
+ },
290
+ {
291
+ "epoch": 42.0,
292
+ "learning_rate": 0.0003042253521126761,
293
+ "loss": 0.1482,
294
+ "step": 42
295
+ },
296
+ {
297
+ "epoch": 43.0,
298
+ "learning_rate": 0.0003014084507042254,
299
+ "loss": 0.1396,
300
+ "step": 43
301
+ },
302
+ {
303
+ "epoch": 44.0,
304
+ "learning_rate": 0.0002985915492957747,
305
+ "loss": 0.1362,
306
+ "step": 44
307
+ },
308
+ {
309
+ "epoch": 45.0,
310
+ "learning_rate": 0.000295774647887324,
311
+ "loss": 0.1344,
312
+ "step": 45
313
+ },
314
+ {
315
+ "epoch": 46.0,
316
+ "learning_rate": 0.0002929577464788733,
317
+ "loss": 0.1322,
318
+ "step": 46
319
+ },
320
+ {
321
+ "epoch": 47.0,
322
+ "learning_rate": 0.0002901408450704226,
323
+ "loss": 0.1295,
324
+ "step": 47
325
+ },
326
+ {
327
+ "epoch": 48.0,
328
+ "learning_rate": 0.0002873239436619719,
329
+ "loss": 0.1271,
330
+ "step": 48
331
+ },
332
+ {
333
+ "epoch": 49.0,
334
+ "learning_rate": 0.00028450704225352114,
335
+ "loss": 0.1282,
336
+ "step": 49
337
+ },
338
+ {
339
+ "epoch": 50.0,
340
+ "learning_rate": 0.00028169014084507044,
341
+ "loss": 0.1177,
342
+ "step": 50
343
+ },
344
+ {
345
+ "epoch": 51.0,
346
+ "learning_rate": 0.00027887323943661974,
347
+ "loss": 0.1216,
348
+ "step": 51
349
+ },
350
+ {
351
+ "epoch": 52.0,
352
+ "learning_rate": 0.00027605633802816904,
353
+ "loss": 0.1207,
354
+ "step": 52
355
+ },
356
+ {
357
+ "epoch": 53.0,
358
+ "learning_rate": 0.0002732394366197183,
359
+ "loss": 0.1127,
360
+ "step": 53
361
+ },
362
+ {
363
+ "epoch": 54.0,
364
+ "learning_rate": 0.0002704225352112676,
365
+ "loss": 0.1161,
366
+ "step": 54
367
+ },
368
+ {
369
+ "epoch": 55.0,
370
+ "learning_rate": 0.0002676056338028169,
371
+ "loss": 0.108,
372
+ "step": 55
373
+ },
374
+ {
375
+ "epoch": 56.0,
376
+ "learning_rate": 0.0002647887323943662,
377
+ "loss": 0.1071,
378
+ "step": 56
379
+ },
380
+ {
381
+ "epoch": 57.0,
382
+ "learning_rate": 0.0002619718309859155,
383
+ "loss": 0.1057,
384
+ "step": 57
385
+ },
386
+ {
387
+ "epoch": 58.0,
388
+ "learning_rate": 0.0002591549295774648,
389
+ "loss": 0.103,
390
+ "step": 58
391
+ },
392
+ {
393
+ "epoch": 59.0,
394
+ "learning_rate": 0.0002563380281690141,
395
+ "loss": 0.1038,
396
+ "step": 59
397
+ },
398
+ {
399
+ "epoch": 60.0,
400
+ "learning_rate": 0.0002535211267605634,
401
+ "loss": 0.0988,
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": 0.02334783226251602,
413
+ "eval_mean_accuracy": 1.0,
414
+ "eval_mean_iou": 1.0,
415
+ "eval_overall_accuracy": 1.0,
416
+ "eval_runtime": 0.6675,
417
+ "eval_samples_per_second": 1.498,
418
+ "eval_steps_per_second": 1.498,
419
+ "step": 60
420
+ },
421
+ {
422
+ "epoch": 61.0,
423
+ "learning_rate": 0.0002507042253521127,
424
+ "loss": 0.099,
425
+ "step": 61
426
+ },
427
+ {
428
+ "epoch": 62.0,
429
+ "learning_rate": 0.00024788732394366195,
430
+ "loss": 0.0983,
431
+ "step": 62
432
+ },
433
+ {
434
+ "epoch": 63.0,
435
+ "learning_rate": 0.00024507042253521126,
436
+ "loss": 0.0955,
437
+ "step": 63
438
+ },
439
+ {
440
+ "epoch": 64.0,
441
+ "learning_rate": 0.00024225352112676056,
442
+ "loss": 0.0982,
443
+ "step": 64
444
+ },
445
+ {
446
+ "epoch": 65.0,
447
+ "learning_rate": 0.00023943661971830986,
448
+ "loss": 0.0913,
449
+ "step": 65
450
+ },
451
+ {
452
+ "epoch": 66.0,
453
+ "learning_rate": 0.00023661971830985916,
454
+ "loss": 0.0983,
455
+ "step": 66
456
+ },
457
+ {
458
+ "epoch": 67.0,
459
+ "learning_rate": 0.00023380281690140847,
460
+ "loss": 0.0981,
461
+ "step": 67
462
+ },
463
+ {
464
+ "epoch": 68.0,
465
+ "learning_rate": 0.00023098591549295777,
466
+ "loss": 0.0913,
467
+ "step": 68
468
+ },
469
+ {
470
+ "epoch": 69.0,
471
+ "learning_rate": 0.00022816901408450707,
472
+ "loss": 0.0913,
473
+ "step": 69
474
+ },
475
+ {
476
+ "epoch": 70.0,
477
+ "learning_rate": 0.00022535211267605637,
478
+ "loss": 0.0892,
479
+ "step": 70
480
+ },
481
+ {
482
+ "epoch": 71.0,
483
+ "learning_rate": 0.00022253521126760565,
484
+ "loss": 0.0865,
485
+ "step": 71
486
+ },
487
+ {
488
+ "epoch": 72.0,
489
+ "learning_rate": 0.00021971830985915495,
490
+ "loss": 0.0871,
491
+ "step": 72
492
+ },
493
+ {
494
+ "epoch": 73.0,
495
+ "learning_rate": 0.00021690140845070425,
496
+ "loss": 0.0873,
497
+ "step": 73
498
+ },
499
+ {
500
+ "epoch": 74.0,
501
+ "learning_rate": 0.00021408450704225353,
502
+ "loss": 0.0857,
503
+ "step": 74
504
+ },
505
+ {
506
+ "epoch": 75.0,
507
+ "learning_rate": 0.0002112676056338028,
508
+ "loss": 0.0817,
509
+ "step": 75
510
+ },
511
+ {
512
+ "epoch": 76.0,
513
+ "learning_rate": 0.0002084507042253521,
514
+ "loss": 0.0857,
515
+ "step": 76
516
+ },
517
+ {
518
+ "epoch": 77.0,
519
+ "learning_rate": 0.0002056338028169014,
520
+ "loss": 0.0837,
521
+ "step": 77
522
+ },
523
+ {
524
+ "epoch": 78.0,
525
+ "learning_rate": 0.0002028169014084507,
526
+ "loss": 0.0834,
527
+ "step": 78
528
+ },
529
+ {
530
+ "epoch": 79.0,
531
+ "learning_rate": 0.0002,
532
+ "loss": 0.0787,
533
+ "step": 79
534
+ },
535
+ {
536
+ "epoch": 80.0,
537
+ "learning_rate": 0.0001971830985915493,
538
+ "loss": 0.08,
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": 0.020909180864691734,
550
+ "eval_mean_accuracy": 1.0,
551
+ "eval_mean_iou": 1.0,
552
+ "eval_overall_accuracy": 1.0,
553
+ "eval_runtime": 0.6545,
554
+ "eval_samples_per_second": 1.528,
555
+ "eval_steps_per_second": 1.528,
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 sha256:0f138da6f302c921e13285d7a7586d1df4892ca26b564accca3f0e69012ebfa4
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 sha256:83f2596418a3a739b7669f79e9f501dc6776088efdb97e5dc28e31891c5f635d
3
+ size 14951629
runs/Mar04_04-51-46_robovision.csres.utexas.edu/events.out.tfevents.1709549513.robovision.csres.utexas.edu.964984.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee82159b78ff3ce7345fd50d7b0f605cd449aa0f2bd115b182ec22706c34e596
3
+ size 20217
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f138da6f302c921e13285d7a7586d1df4892ca26b564accca3f0e69012ebfa4
3
+ size 4219