sam1120 commited on
Commit
147766d
·
1 Parent(s): 8043a5e

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": 3,
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 sha256:56dda564e57098e88a31e12eb0b97969910186b832003673c0e7f8ebca030519
3
+ size 29838853
checkpoint-80/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77af1d68333f96b62f452ef92f6bb44dd5a242a750026e741c617380fad5535b
3
+ size 14932813
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:afae0d2007d213877119abdfc027adf95f2071e23af29f73e7181468d29d4867
3
+ size 627
checkpoint-80/trainer_state.json ADDED
@@ -0,0 +1,564 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8392333984375,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/parking-utcustom-train-SF-RGB-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": 4.9999999999999996e-06,
13
+ "loss": 1.2234,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 2.0,
18
+ "learning_rate": 9.999999999999999e-06,
19
+ "loss": 1.2229,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 3.0,
24
+ "learning_rate": 1.5e-05,
25
+ "loss": 1.2191,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 4.0,
30
+ "learning_rate": 1.9999999999999998e-05,
31
+ "loss": 1.216,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 5.0,
36
+ "learning_rate": 2.5e-05,
37
+ "loss": 1.2126,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 6.0,
42
+ "learning_rate": 3e-05,
43
+ "loss": 1.2038,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 7.0,
48
+ "learning_rate": 2.9736842105263157e-05,
49
+ "loss": 1.1946,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 8.0,
54
+ "learning_rate": 2.9473684210526314e-05,
55
+ "loss": 1.1913,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 9.0,
60
+ "learning_rate": 2.9210526315789474e-05,
61
+ "loss": 1.1799,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 10.0,
66
+ "learning_rate": 2.8947368421052634e-05,
67
+ "loss": 1.174,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 11.0,
72
+ "learning_rate": 2.868421052631579e-05,
73
+ "loss": 1.1617,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 12.0,
78
+ "learning_rate": 2.8421052631578946e-05,
79
+ "loss": 1.1634,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 13.0,
84
+ "learning_rate": 2.8157894736842106e-05,
85
+ "loss": 1.1502,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 14.0,
90
+ "learning_rate": 2.7894736842105263e-05,
91
+ "loss": 1.1471,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 15.0,
96
+ "learning_rate": 2.7631578947368423e-05,
97
+ "loss": 1.1306,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 16.0,
102
+ "learning_rate": 2.736842105263158e-05,
103
+ "loss": 1.1303,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 17.0,
108
+ "learning_rate": 2.710526315789474e-05,
109
+ "loss": 1.1261,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 18.0,
114
+ "learning_rate": 2.6842105263157896e-05,
115
+ "loss": 1.1245,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 19.0,
120
+ "learning_rate": 2.6578947368421052e-05,
121
+ "loss": 1.1075,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 20.0,
126
+ "learning_rate": 2.631578947368421e-05,
127
+ "loss": 1.0965,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 20.0,
132
+ "eval_accuracy_parking": NaN,
133
+ "eval_accuracy_unlabeled": NaN,
134
+ "eval_accuracy_unparking": 0.4298858642578125,
135
+ "eval_iou_parking": 0.0,
136
+ "eval_iou_unlabeled": 0.0,
137
+ "eval_iou_unparking": 0.4298858642578125,
138
+ "eval_loss": 1.0974003076553345,
139
+ "eval_mean_accuracy": 0.4298858642578125,
140
+ "eval_mean_iou": 0.1432952880859375,
141
+ "eval_overall_accuracy": 0.4298858642578125,
142
+ "eval_runtime": 0.4804,
143
+ "eval_samples_per_second": 2.082,
144
+ "eval_steps_per_second": 2.082,
145
+ "step": 20
146
+ },
147
+ {
148
+ "epoch": 21.0,
149
+ "learning_rate": 2.605263157894737e-05,
150
+ "loss": 1.0938,
151
+ "step": 21
152
+ },
153
+ {
154
+ "epoch": 22.0,
155
+ "learning_rate": 2.578947368421053e-05,
156
+ "loss": 1.0841,
157
+ "step": 22
158
+ },
159
+ {
160
+ "epoch": 23.0,
161
+ "learning_rate": 2.5526315789473685e-05,
162
+ "loss": 1.0771,
163
+ "step": 23
164
+ },
165
+ {
166
+ "epoch": 24.0,
167
+ "learning_rate": 2.526315789473684e-05,
168
+ "loss": 1.066,
169
+ "step": 24
170
+ },
171
+ {
172
+ "epoch": 25.0,
173
+ "learning_rate": 2.5e-05,
174
+ "loss": 1.0565,
175
+ "step": 25
176
+ },
177
+ {
178
+ "epoch": 26.0,
179
+ "learning_rate": 2.4736842105263158e-05,
180
+ "loss": 1.0522,
181
+ "step": 26
182
+ },
183
+ {
184
+ "epoch": 27.0,
185
+ "learning_rate": 2.4473684210526318e-05,
186
+ "loss": 1.0709,
187
+ "step": 27
188
+ },
189
+ {
190
+ "epoch": 28.0,
191
+ "learning_rate": 2.4210526315789474e-05,
192
+ "loss": 1.0567,
193
+ "step": 28
194
+ },
195
+ {
196
+ "epoch": 29.0,
197
+ "learning_rate": 2.3947368421052634e-05,
198
+ "loss": 1.0489,
199
+ "step": 29
200
+ },
201
+ {
202
+ "epoch": 30.0,
203
+ "learning_rate": 2.368421052631579e-05,
204
+ "loss": 1.0324,
205
+ "step": 30
206
+ },
207
+ {
208
+ "epoch": 31.0,
209
+ "learning_rate": 2.3421052631578947e-05,
210
+ "loss": 1.0285,
211
+ "step": 31
212
+ },
213
+ {
214
+ "epoch": 32.0,
215
+ "learning_rate": 2.3157894736842103e-05,
216
+ "loss": 1.0167,
217
+ "step": 32
218
+ },
219
+ {
220
+ "epoch": 33.0,
221
+ "learning_rate": 2.2894736842105263e-05,
222
+ "loss": 1.0062,
223
+ "step": 33
224
+ },
225
+ {
226
+ "epoch": 34.0,
227
+ "learning_rate": 2.2631578947368423e-05,
228
+ "loss": 1.004,
229
+ "step": 34
230
+ },
231
+ {
232
+ "epoch": 35.0,
233
+ "learning_rate": 2.236842105263158e-05,
234
+ "loss": 1.007,
235
+ "step": 35
236
+ },
237
+ {
238
+ "epoch": 36.0,
239
+ "learning_rate": 2.2105263157894736e-05,
240
+ "loss": 0.9915,
241
+ "step": 36
242
+ },
243
+ {
244
+ "epoch": 37.0,
245
+ "learning_rate": 2.1842105263157896e-05,
246
+ "loss": 0.9895,
247
+ "step": 37
248
+ },
249
+ {
250
+ "epoch": 38.0,
251
+ "learning_rate": 2.1578947368421053e-05,
252
+ "loss": 0.9813,
253
+ "step": 38
254
+ },
255
+ {
256
+ "epoch": 39.0,
257
+ "learning_rate": 2.1315789473684212e-05,
258
+ "loss": 0.9562,
259
+ "step": 39
260
+ },
261
+ {
262
+ "epoch": 40.0,
263
+ "learning_rate": 2.105263157894737e-05,
264
+ "loss": 0.9563,
265
+ "step": 40
266
+ },
267
+ {
268
+ "epoch": 40.0,
269
+ "eval_accuracy_parking": NaN,
270
+ "eval_accuracy_unlabeled": NaN,
271
+ "eval_accuracy_unparking": 0.7234535217285156,
272
+ "eval_iou_parking": 0.0,
273
+ "eval_iou_unlabeled": 0.0,
274
+ "eval_iou_unparking": 0.7234535217285156,
275
+ "eval_loss": 1.0286378860473633,
276
+ "eval_mean_accuracy": 0.7234535217285156,
277
+ "eval_mean_iou": 0.24115117390950522,
278
+ "eval_overall_accuracy": 0.7234535217285156,
279
+ "eval_runtime": 0.5302,
280
+ "eval_samples_per_second": 1.886,
281
+ "eval_steps_per_second": 1.886,
282
+ "step": 40
283
+ },
284
+ {
285
+ "epoch": 41.0,
286
+ "learning_rate": 2.078947368421053e-05,
287
+ "loss": 0.947,
288
+ "step": 41
289
+ },
290
+ {
291
+ "epoch": 42.0,
292
+ "learning_rate": 2.0526315789473685e-05,
293
+ "loss": 0.947,
294
+ "step": 42
295
+ },
296
+ {
297
+ "epoch": 43.0,
298
+ "learning_rate": 2.0263157894736842e-05,
299
+ "loss": 0.9411,
300
+ "step": 43
301
+ },
302
+ {
303
+ "epoch": 44.0,
304
+ "learning_rate": 1.9999999999999998e-05,
305
+ "loss": 0.9252,
306
+ "step": 44
307
+ },
308
+ {
309
+ "epoch": 45.0,
310
+ "learning_rate": 1.9736842105263158e-05,
311
+ "loss": 0.9327,
312
+ "step": 45
313
+ },
314
+ {
315
+ "epoch": 46.0,
316
+ "learning_rate": 1.9473684210526318e-05,
317
+ "loss": 0.9223,
318
+ "step": 46
319
+ },
320
+ {
321
+ "epoch": 47.0,
322
+ "learning_rate": 1.9210526315789474e-05,
323
+ "loss": 0.896,
324
+ "step": 47
325
+ },
326
+ {
327
+ "epoch": 48.0,
328
+ "learning_rate": 1.894736842105263e-05,
329
+ "loss": 0.9083,
330
+ "step": 48
331
+ },
332
+ {
333
+ "epoch": 49.0,
334
+ "learning_rate": 1.868421052631579e-05,
335
+ "loss": 0.9132,
336
+ "step": 49
337
+ },
338
+ {
339
+ "epoch": 50.0,
340
+ "learning_rate": 1.8421052631578947e-05,
341
+ "loss": 0.8891,
342
+ "step": 50
343
+ },
344
+ {
345
+ "epoch": 51.0,
346
+ "learning_rate": 1.8157894736842107e-05,
347
+ "loss": 0.8823,
348
+ "step": 51
349
+ },
350
+ {
351
+ "epoch": 52.0,
352
+ "learning_rate": 1.7894736842105264e-05,
353
+ "loss": 0.9112,
354
+ "step": 52
355
+ },
356
+ {
357
+ "epoch": 53.0,
358
+ "learning_rate": 1.7631578947368424e-05,
359
+ "loss": 0.8981,
360
+ "step": 53
361
+ },
362
+ {
363
+ "epoch": 54.0,
364
+ "learning_rate": 1.736842105263158e-05,
365
+ "loss": 0.8924,
366
+ "step": 54
367
+ },
368
+ {
369
+ "epoch": 55.0,
370
+ "learning_rate": 1.7105263157894737e-05,
371
+ "loss": 0.8735,
372
+ "step": 55
373
+ },
374
+ {
375
+ "epoch": 56.0,
376
+ "learning_rate": 1.6842105263157893e-05,
377
+ "loss": 0.8576,
378
+ "step": 56
379
+ },
380
+ {
381
+ "epoch": 57.0,
382
+ "learning_rate": 1.6578947368421053e-05,
383
+ "loss": 0.8609,
384
+ "step": 57
385
+ },
386
+ {
387
+ "epoch": 58.0,
388
+ "learning_rate": 1.6315789473684213e-05,
389
+ "loss": 0.841,
390
+ "step": 58
391
+ },
392
+ {
393
+ "epoch": 59.0,
394
+ "learning_rate": 1.605263157894737e-05,
395
+ "loss": 0.8494,
396
+ "step": 59
397
+ },
398
+ {
399
+ "epoch": 60.0,
400
+ "learning_rate": 1.5789473684210526e-05,
401
+ "loss": 0.8707,
402
+ "step": 60
403
+ },
404
+ {
405
+ "epoch": 60.0,
406
+ "eval_accuracy_parking": NaN,
407
+ "eval_accuracy_unlabeled": NaN,
408
+ "eval_accuracy_unparking": 0.8608512878417969,
409
+ "eval_iou_parking": 0.0,
410
+ "eval_iou_unlabeled": 0.0,
411
+ "eval_iou_unparking": 0.8608512878417969,
412
+ "eval_loss": 0.9260364174842834,
413
+ "eval_mean_accuracy": 0.8608512878417969,
414
+ "eval_mean_iou": 0.28695042928059894,
415
+ "eval_overall_accuracy": 0.8608512878417969,
416
+ "eval_runtime": 0.5026,
417
+ "eval_samples_per_second": 1.99,
418
+ "eval_steps_per_second": 1.99,
419
+ "step": 60
420
+ },
421
+ {
422
+ "epoch": 61.0,
423
+ "learning_rate": 1.5526315789473686e-05,
424
+ "loss": 0.8188,
425
+ "step": 61
426
+ },
427
+ {
428
+ "epoch": 62.0,
429
+ "learning_rate": 1.5263157894736842e-05,
430
+ "loss": 0.8495,
431
+ "step": 62
432
+ },
433
+ {
434
+ "epoch": 63.0,
435
+ "learning_rate": 1.5e-05,
436
+ "loss": 0.8173,
437
+ "step": 63
438
+ },
439
+ {
440
+ "epoch": 64.0,
441
+ "learning_rate": 1.4736842105263157e-05,
442
+ "loss": 0.8086,
443
+ "step": 64
444
+ },
445
+ {
446
+ "epoch": 65.0,
447
+ "learning_rate": 1.4473684210526317e-05,
448
+ "loss": 0.7986,
449
+ "step": 65
450
+ },
451
+ {
452
+ "epoch": 66.0,
453
+ "learning_rate": 1.4210526315789473e-05,
454
+ "loss": 0.8226,
455
+ "step": 66
456
+ },
457
+ {
458
+ "epoch": 67.0,
459
+ "learning_rate": 1.3947368421052631e-05,
460
+ "loss": 0.8185,
461
+ "step": 67
462
+ },
463
+ {
464
+ "epoch": 68.0,
465
+ "learning_rate": 1.368421052631579e-05,
466
+ "loss": 0.8063,
467
+ "step": 68
468
+ },
469
+ {
470
+ "epoch": 69.0,
471
+ "learning_rate": 1.3421052631578948e-05,
472
+ "loss": 0.8218,
473
+ "step": 69
474
+ },
475
+ {
476
+ "epoch": 70.0,
477
+ "learning_rate": 1.3157894736842104e-05,
478
+ "loss": 0.7961,
479
+ "step": 70
480
+ },
481
+ {
482
+ "epoch": 71.0,
483
+ "learning_rate": 1.2894736842105264e-05,
484
+ "loss": 0.832,
485
+ "step": 71
486
+ },
487
+ {
488
+ "epoch": 72.0,
489
+ "learning_rate": 1.263157894736842e-05,
490
+ "loss": 0.7845,
491
+ "step": 72
492
+ },
493
+ {
494
+ "epoch": 73.0,
495
+ "learning_rate": 1.2368421052631579e-05,
496
+ "loss": 0.8236,
497
+ "step": 73
498
+ },
499
+ {
500
+ "epoch": 74.0,
501
+ "learning_rate": 1.2105263157894737e-05,
502
+ "loss": 0.8004,
503
+ "step": 74
504
+ },
505
+ {
506
+ "epoch": 75.0,
507
+ "learning_rate": 1.1842105263157895e-05,
508
+ "loss": 0.7757,
509
+ "step": 75
510
+ },
511
+ {
512
+ "epoch": 76.0,
513
+ "learning_rate": 1.1578947368421052e-05,
514
+ "loss": 0.7931,
515
+ "step": 76
516
+ },
517
+ {
518
+ "epoch": 77.0,
519
+ "learning_rate": 1.1315789473684212e-05,
520
+ "loss": 0.7735,
521
+ "step": 77
522
+ },
523
+ {
524
+ "epoch": 78.0,
525
+ "learning_rate": 1.1052631578947368e-05,
526
+ "loss": 0.8168,
527
+ "step": 78
528
+ },
529
+ {
530
+ "epoch": 79.0,
531
+ "learning_rate": 1.0789473684210526e-05,
532
+ "loss": 0.7637,
533
+ "step": 79
534
+ },
535
+ {
536
+ "epoch": 80.0,
537
+ "learning_rate": 1.0526315789473684e-05,
538
+ "loss": 0.7662,
539
+ "step": 80
540
+ },
541
+ {
542
+ "epoch": 80.0,
543
+ "eval_accuracy_parking": NaN,
544
+ "eval_accuracy_unlabeled": NaN,
545
+ "eval_accuracy_unparking": 0.8852920532226562,
546
+ "eval_iou_parking": 0.0,
547
+ "eval_iou_unlabeled": 0.0,
548
+ "eval_iou_unparking": 0.8852920532226562,
549
+ "eval_loss": 0.8392333984375,
550
+ "eval_mean_accuracy": 0.8852920532226562,
551
+ "eval_mean_iou": 0.29509735107421875,
552
+ "eval_overall_accuracy": 0.8852920532226562,
553
+ "eval_runtime": 0.5065,
554
+ "eval_samples_per_second": 1.974,
555
+ "eval_steps_per_second": 1.974,
556
+ "step": 80
557
+ }
558
+ ],
559
+ "max_steps": 120,
560
+ "num_train_epochs": 120,
561
+ "total_flos": 2.24373352955904e+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:b9a41272965abaced8e37137d8876ab7308383a1a38b95351829be8853bbe3f4
3
+ size 4155
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": 3,
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 sha256:77af1d68333f96b62f452ef92f6bb44dd5a242a750026e741c617380fad5535b
3
+ size 14932813
runs/Mar03_19-44-29_robovision.csres.utexas.edu/events.out.tfevents.1709516675.robovision.csres.utexas.edu.709343.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:604d46ad31ade418fa23d1eb6dfd6c229676b9d126c6de04eb0152ffcadbc2a5
3
+ size 20212
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9a41272965abaced8e37137d8876ab7308383a1a38b95351829be8853bbe3f4
3
+ size 4155