heroza commited on
Commit
e392f6c
1 Parent(s): b9735c6

End of training

Browse files
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: other
3
  base_model: nvidia/mit-b0
4
  tags:
 
 
5
  - generated_from_trainer
6
  model-index:
7
  - name: segformer-finetuned-biofilm2_train
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # segformer-finetuned-biofilm2_train
15
 
16
- This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
  - Loss: 0.0761
19
  - Mean Iou: 0.8665
 
2
  license: other
3
  base_model: nvidia/mit-b0
4
  tags:
5
+ - image-segmentation
6
+ - vision
7
  - generated_from_trainer
8
  model-index:
9
  - name: segformer-finetuned-biofilm2_train
 
15
 
16
  # segformer-finetuned-biofilm2_train
17
 
18
+ This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the heroza/biofilm2_train dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.0761
21
  - Mean Iou: 0.8665
all_results.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 33.56,
3
+ "eval_accuracy_background": 0.9741039025483926,
4
+ "eval_accuracy_biofilm": 0.9788809867410607,
5
+ "eval_iou_background": 0.972249270572151,
6
+ "eval_iou_biofilm": 0.760768570598912,
7
+ "eval_loss": 0.07605621963739395,
8
+ "eval_mean_accuracy": 0.9764924446447267,
9
+ "eval_mean_iou": 0.8665089205855315,
10
+ "eval_overall_accuracy": 0.9744996458221218,
11
+ "eval_runtime": 34.6412,
12
+ "eval_samples_per_second": 12.153,
13
+ "eval_steps_per_second": 1.53,
14
+ "train_loss": 0.03925841097831726,
15
+ "train_runtime": 10202.8764,
16
+ "train_samples_per_second": 7.841,
17
+ "train_steps_per_second": 0.98
18
+ }
eval_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 33.56,
3
+ "eval_accuracy_background": 0.9741039025483926,
4
+ "eval_accuracy_biofilm": 0.9788809867410607,
5
+ "eval_iou_background": 0.972249270572151,
6
+ "eval_iou_biofilm": 0.760768570598912,
7
+ "eval_loss": 0.07605621963739395,
8
+ "eval_mean_accuracy": 0.9764924446447267,
9
+ "eval_mean_iou": 0.8665089205855315,
10
+ "eval_overall_accuracy": 0.9744996458221218,
11
+ "eval_runtime": 34.6412,
12
+ "eval_samples_per_second": 12.153,
13
+ "eval_steps_per_second": 1.53
14
+ }
runs/Jul09_15-23-14_gpu-1-130.local/events.out.tfevents.1720545249.gpu-1-130.local.114558.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70441e0c1d94b52944bf93eee40463475e4bdd94bb6ebf9bc35563173ee7f208
3
+ size 764
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 33.56,
3
+ "train_loss": 0.03925841097831726,
4
+ "train_runtime": 10202.8764,
5
+ "train_samples_per_second": 7.841,
6
+ "train_steps_per_second": 0.98
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 33.557046979865774,
5
+ "eval_steps": 500,
6
+ "global_step": 10000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.34,
13
+ "learning_rate": 5.9401e-05,
14
+ "loss": 0.3625,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.67,
19
+ "learning_rate": 5.8802000000000004e-05,
20
+ "loss": 0.1611,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 1.0,
25
+ "eval_accuracy_background": 0.9714367507863716,
26
+ "eval_accuracy_biofilm": 0.9379202687357359,
27
+ "eval_iou_background": 0.9660199555277573,
28
+ "eval_iou_biofilm": 0.7125816022210048,
29
+ "eval_loss": 0.12196170538663864,
30
+ "eval_mean_accuracy": 0.9546785097610537,
31
+ "eval_mean_iou": 0.839300778874381,
32
+ "eval_overall_accuracy": 0.9686601779240044,
33
+ "eval_runtime": 32.9353,
34
+ "eval_samples_per_second": 12.783,
35
+ "eval_steps_per_second": 1.609,
36
+ "step": 298
37
+ },
38
+ {
39
+ "epoch": 1.01,
40
+ "learning_rate": 5.8203e-05,
41
+ "loss": 0.1013,
42
+ "step": 300
43
+ },
44
+ {
45
+ "epoch": 1.34,
46
+ "learning_rate": 5.7604e-05,
47
+ "loss": 0.0816,
48
+ "step": 400
49
+ },
50
+ {
51
+ "epoch": 1.68,
52
+ "learning_rate": 5.7005e-05,
53
+ "loss": 0.07,
54
+ "step": 500
55
+ },
56
+ {
57
+ "epoch": 2.0,
58
+ "eval_accuracy_background": 0.9881345638126203,
59
+ "eval_accuracy_biofilm": 0.8836868299407765,
60
+ "eval_iou_background": 0.9778612015673241,
61
+ "eval_iou_biofilm": 0.7810807390521808,
62
+ "eval_loss": 0.0681634470820427,
63
+ "eval_mean_accuracy": 0.9359106968766984,
64
+ "eval_mean_iou": 0.8794709703097525,
65
+ "eval_overall_accuracy": 0.9794819032211485,
66
+ "eval_runtime": 32.6762,
67
+ "eval_samples_per_second": 12.884,
68
+ "eval_steps_per_second": 1.622,
69
+ "step": 596
70
+ },
71
+ {
72
+ "epoch": 2.01,
73
+ "learning_rate": 5.6406e-05,
74
+ "loss": 0.0659,
75
+ "step": 600
76
+ },
77
+ {
78
+ "epoch": 2.35,
79
+ "learning_rate": 5.5806999999999996e-05,
80
+ "loss": 0.0541,
81
+ "step": 700
82
+ },
83
+ {
84
+ "epoch": 2.68,
85
+ "learning_rate": 5.5208000000000004e-05,
86
+ "loss": 0.0542,
87
+ "step": 800
88
+ },
89
+ {
90
+ "epoch": 3.0,
91
+ "eval_accuracy_background": 0.9804793149398732,
92
+ "eval_accuracy_biofilm": 0.9665920056981216,
93
+ "eval_iou_background": 0.9775295541805302,
94
+ "eval_iou_biofilm": 0.7948183867583394,
95
+ "eval_loss": 0.056364480406045914,
96
+ "eval_mean_accuracy": 0.9735356603189974,
97
+ "eval_mean_iou": 0.8861739704694348,
98
+ "eval_overall_accuracy": 0.9793288622785917,
99
+ "eval_runtime": 31.1168,
100
+ "eval_samples_per_second": 13.53,
101
+ "eval_steps_per_second": 1.703,
102
+ "step": 894
103
+ },
104
+ {
105
+ "epoch": 3.02,
106
+ "learning_rate": 5.4609000000000005e-05,
107
+ "loss": 0.0511,
108
+ "step": 900
109
+ },
110
+ {
111
+ "epoch": 3.36,
112
+ "learning_rate": 5.401e-05,
113
+ "loss": 0.051,
114
+ "step": 1000
115
+ },
116
+ {
117
+ "epoch": 3.69,
118
+ "learning_rate": 5.3411e-05,
119
+ "loss": 0.0508,
120
+ "step": 1100
121
+ },
122
+ {
123
+ "epoch": 4.0,
124
+ "eval_accuracy_background": 0.9813532334659442,
125
+ "eval_accuracy_biofilm": 0.9643269104774955,
126
+ "eval_iou_background": 0.9782013114850122,
127
+ "eval_iou_biofilm": 0.7993150915310097,
128
+ "eval_loss": 0.051690176129341125,
129
+ "eval_mean_accuracy": 0.9728400719717198,
130
+ "eval_mean_iou": 0.8887582015080109,
131
+ "eval_overall_accuracy": 0.979942738585121,
132
+ "eval_runtime": 35.174,
133
+ "eval_samples_per_second": 11.969,
134
+ "eval_steps_per_second": 1.507,
135
+ "step": 1192
136
+ },
137
+ {
138
+ "epoch": 4.03,
139
+ "learning_rate": 5.2812e-05,
140
+ "loss": 0.0487,
141
+ "step": 1200
142
+ },
143
+ {
144
+ "epoch": 4.36,
145
+ "learning_rate": 5.2213e-05,
146
+ "loss": 0.0469,
147
+ "step": 1300
148
+ },
149
+ {
150
+ "epoch": 4.7,
151
+ "learning_rate": 5.1614000000000004e-05,
152
+ "loss": 0.0491,
153
+ "step": 1400
154
+ },
155
+ {
156
+ "epoch": 5.0,
157
+ "eval_accuracy_background": 0.9843238332770763,
158
+ "eval_accuracy_biofilm": 0.961084528772911,
159
+ "eval_iou_background": 0.9808760265848091,
160
+ "eval_iou_biofilm": 0.8189524617539299,
161
+ "eval_loss": 0.04791754484176636,
162
+ "eval_mean_accuracy": 0.9727041810249937,
163
+ "eval_mean_iou": 0.8999142441693695,
164
+ "eval_overall_accuracy": 0.9823986424969381,
165
+ "eval_runtime": 32.1656,
166
+ "eval_samples_per_second": 13.089,
167
+ "eval_steps_per_second": 1.648,
168
+ "step": 1490
169
+ },
170
+ {
171
+ "epoch": 5.03,
172
+ "learning_rate": 5.1015e-05,
173
+ "loss": 0.0411,
174
+ "step": 1500
175
+ },
176
+ {
177
+ "epoch": 5.37,
178
+ "learning_rate": 5.0416e-05,
179
+ "loss": 0.0444,
180
+ "step": 1600
181
+ },
182
+ {
183
+ "epoch": 5.7,
184
+ "learning_rate": 4.9817e-05,
185
+ "loss": 0.0496,
186
+ "step": 1700
187
+ },
188
+ {
189
+ "epoch": 6.0,
190
+ "eval_accuracy_background": 0.9770477092255775,
191
+ "eval_accuracy_biofilm": 0.9686341899109909,
192
+ "eval_iou_background": 0.9742874484705344,
193
+ "eval_iou_biofilm": 0.7723686042045399,
194
+ "eval_loss": 0.06648124009370804,
195
+ "eval_mean_accuracy": 0.9728409495682842,
196
+ "eval_mean_iou": 0.8733280263375371,
197
+ "eval_overall_accuracy": 0.9763507163439681,
198
+ "eval_runtime": 37.0466,
199
+ "eval_samples_per_second": 11.364,
200
+ "eval_steps_per_second": 1.431,
201
+ "step": 1788
202
+ },
203
+ {
204
+ "epoch": 6.04,
205
+ "learning_rate": 4.9218e-05,
206
+ "loss": 0.0462,
207
+ "step": 1800
208
+ },
209
+ {
210
+ "epoch": 6.38,
211
+ "learning_rate": 4.8619e-05,
212
+ "loss": 0.0404,
213
+ "step": 1900
214
+ },
215
+ {
216
+ "epoch": 6.71,
217
+ "learning_rate": 4.8020000000000004e-05,
218
+ "loss": 0.047,
219
+ "step": 2000
220
+ },
221
+ {
222
+ "epoch": 7.0,
223
+ "eval_accuracy_background": 0.98227294335479,
224
+ "eval_accuracy_biofilm": 0.966428377205676,
225
+ "eval_iou_background": 0.9793033562259207,
226
+ "eval_iou_biofilm": 0.8078753631939453,
227
+ "eval_loss": 0.047480177134275436,
228
+ "eval_mean_accuracy": 0.974350660280233,
229
+ "eval_mean_iou": 0.8935893597099329,
230
+ "eval_overall_accuracy": 0.9809603475901406,
231
+ "eval_runtime": 37.1668,
232
+ "eval_samples_per_second": 11.327,
233
+ "eval_steps_per_second": 1.426,
234
+ "step": 2086
235
+ },
236
+ {
237
+ "epoch": 7.05,
238
+ "learning_rate": 4.7421000000000006e-05,
239
+ "loss": 0.0363,
240
+ "step": 2100
241
+ },
242
+ {
243
+ "epoch": 7.38,
244
+ "learning_rate": 4.6822e-05,
245
+ "loss": 0.0403,
246
+ "step": 2200
247
+ },
248
+ {
249
+ "epoch": 7.72,
250
+ "learning_rate": 4.6223e-05,
251
+ "loss": 0.0403,
252
+ "step": 2300
253
+ },
254
+ {
255
+ "epoch": 8.0,
256
+ "eval_accuracy_background": 0.9823265888995295,
257
+ "eval_accuracy_biofilm": 0.9574697172442774,
258
+ "eval_iou_background": 0.9785673882859085,
259
+ "eval_iou_biofilm": 0.800784041515011,
260
+ "eval_loss": 0.051284048706293106,
261
+ "eval_mean_accuracy": 0.9698981530719035,
262
+ "eval_mean_iou": 0.8896757149004597,
263
+ "eval_overall_accuracy": 0.9802673955994378,
264
+ "eval_runtime": 38.8647,
265
+ "eval_samples_per_second": 10.832,
266
+ "eval_steps_per_second": 1.364,
267
+ "step": 2384
268
+ },
269
+ {
270
+ "epoch": 8.05,
271
+ "learning_rate": 4.5624e-05,
272
+ "loss": 0.0362,
273
+ "step": 2400
274
+ },
275
+ {
276
+ "epoch": 8.39,
277
+ "learning_rate": 4.5025000000000003e-05,
278
+ "loss": 0.0382,
279
+ "step": 2500
280
+ },
281
+ {
282
+ "epoch": 8.72,
283
+ "learning_rate": 4.4426000000000005e-05,
284
+ "loss": 0.0336,
285
+ "step": 2600
286
+ },
287
+ {
288
+ "epoch": 9.0,
289
+ "eval_accuracy_background": 0.975562735342659,
290
+ "eval_accuracy_biofilm": 0.9823735144096982,
291
+ "eval_iou_background": 0.9740120041094439,
292
+ "eval_iou_biofilm": 0.7731881533386001,
293
+ "eval_loss": 0.05974253639578819,
294
+ "eval_mean_accuracy": 0.9789681248761786,
295
+ "eval_mean_iou": 0.873600078724022,
296
+ "eval_overall_accuracy": 0.9761269539948597,
297
+ "eval_runtime": 36.8634,
298
+ "eval_samples_per_second": 11.421,
299
+ "eval_steps_per_second": 1.438,
300
+ "step": 2682
301
+ },
302
+ {
303
+ "epoch": 9.06,
304
+ "learning_rate": 4.3827e-05,
305
+ "loss": 0.0413,
306
+ "step": 2700
307
+ },
308
+ {
309
+ "epoch": 9.4,
310
+ "learning_rate": 4.3228e-05,
311
+ "loss": 0.0351,
312
+ "step": 2800
313
+ },
314
+ {
315
+ "epoch": 9.73,
316
+ "learning_rate": 4.2629e-05,
317
+ "loss": 0.036,
318
+ "step": 2900
319
+ },
320
+ {
321
+ "epoch": 10.0,
322
+ "eval_accuracy_background": 0.9773166581508892,
323
+ "eval_accuracy_biofilm": 0.9789228782601829,
324
+ "eval_iou_background": 0.9754595932462596,
325
+ "eval_iou_biofilm": 0.782430281005596,
326
+ "eval_loss": 0.060156237334012985,
327
+ "eval_mean_accuracy": 0.978119768205536,
328
+ "eval_mean_iou": 0.8789449371259278,
329
+ "eval_overall_accuracy": 0.9774497206590521,
330
+ "eval_runtime": 35.333,
331
+ "eval_samples_per_second": 11.915,
332
+ "eval_steps_per_second": 1.5,
333
+ "step": 2980
334
+ },
335
+ {
336
+ "epoch": 10.07,
337
+ "learning_rate": 4.203e-05,
338
+ "loss": 0.0369,
339
+ "step": 3000
340
+ },
341
+ {
342
+ "epoch": 10.4,
343
+ "learning_rate": 4.1431e-05,
344
+ "loss": 0.0432,
345
+ "step": 3100
346
+ },
347
+ {
348
+ "epoch": 10.74,
349
+ "learning_rate": 4.0832e-05,
350
+ "loss": 0.0335,
351
+ "step": 3200
352
+ },
353
+ {
354
+ "epoch": 11.0,
355
+ "eval_accuracy_background": 0.9817643579040268,
356
+ "eval_accuracy_biofilm": 0.9522394024847468,
357
+ "eval_iou_background": 0.977547256857967,
358
+ "eval_iou_biofilm": 0.7922850608997265,
359
+ "eval_loss": 0.051909081637859344,
360
+ "eval_mean_accuracy": 0.9670018801943868,
361
+ "eval_mean_iou": 0.8849161588788468,
362
+ "eval_overall_accuracy": 0.9793184511451993,
363
+ "eval_runtime": 35.4537,
364
+ "eval_samples_per_second": 11.875,
365
+ "eval_steps_per_second": 1.495,
366
+ "step": 3278
367
+ },
368
+ {
369
+ "epoch": 11.07,
370
+ "learning_rate": 4.0233e-05,
371
+ "loss": 0.034,
372
+ "step": 3300
373
+ },
374
+ {
375
+ "epoch": 11.41,
376
+ "learning_rate": 3.9634e-05,
377
+ "loss": 0.0294,
378
+ "step": 3400
379
+ },
380
+ {
381
+ "epoch": 11.74,
382
+ "learning_rate": 3.9035e-05,
383
+ "loss": 0.0364,
384
+ "step": 3500
385
+ },
386
+ {
387
+ "epoch": 12.0,
388
+ "eval_accuracy_background": 0.9745322666689007,
389
+ "eval_accuracy_biofilm": 0.9874237940766049,
390
+ "eval_iou_background": 0.9734265106699326,
391
+ "eval_iou_biofilm": 0.7702468451658013,
392
+ "eval_loss": 0.0683961734175682,
393
+ "eval_mean_accuracy": 0.9809780303727528,
394
+ "eval_mean_iou": 0.871836677917867,
395
+ "eval_overall_accuracy": 0.9756002267579285,
396
+ "eval_runtime": 36.2924,
397
+ "eval_samples_per_second": 11.6,
398
+ "eval_steps_per_second": 1.46,
399
+ "step": 3576
400
+ },
401
+ {
402
+ "epoch": 12.08,
403
+ "learning_rate": 3.8436e-05,
404
+ "loss": 0.0334,
405
+ "step": 3600
406
+ },
407
+ {
408
+ "epoch": 12.42,
409
+ "learning_rate": 3.7837000000000004e-05,
410
+ "loss": 0.0315,
411
+ "step": 3700
412
+ },
413
+ {
414
+ "epoch": 12.75,
415
+ "learning_rate": 3.7238000000000005e-05,
416
+ "loss": 0.0423,
417
+ "step": 3800
418
+ },
419
+ {
420
+ "epoch": 13.0,
421
+ "eval_accuracy_background": 0.9776654233480151,
422
+ "eval_accuracy_biofilm": 0.9707486725419796,
423
+ "eval_iou_background": 0.9750891236278333,
424
+ "eval_iou_biofilm": 0.7782988129733963,
425
+ "eval_loss": 0.06370871514081955,
426
+ "eval_mean_accuracy": 0.9742070479449974,
427
+ "eval_mean_iou": 0.8766939683006147,
428
+ "eval_overall_accuracy": 0.9770924257835696,
429
+ "eval_runtime": 36.4041,
430
+ "eval_samples_per_second": 11.565,
431
+ "eval_steps_per_second": 1.456,
432
+ "step": 3874
433
+ },
434
+ {
435
+ "epoch": 13.09,
436
+ "learning_rate": 3.6639e-05,
437
+ "loss": 0.0323,
438
+ "step": 3900
439
+ },
440
+ {
441
+ "epoch": 13.42,
442
+ "learning_rate": 3.604e-05,
443
+ "loss": 0.0354,
444
+ "step": 4000
445
+ },
446
+ {
447
+ "epoch": 13.76,
448
+ "learning_rate": 3.544100000000001e-05,
449
+ "loss": 0.0354,
450
+ "step": 4100
451
+ },
452
+ {
453
+ "epoch": 14.0,
454
+ "eval_accuracy_background": 0.9790995080594873,
455
+ "eval_accuracy_biofilm": 0.95930616269091,
456
+ "eval_iou_background": 0.9755138524080024,
457
+ "eval_iou_biofilm": 0.779041497630751,
458
+ "eval_loss": 0.061834633350372314,
459
+ "eval_mean_accuracy": 0.9692028353751987,
460
+ "eval_mean_iou": 0.8772776750193767,
461
+ "eval_overall_accuracy": 0.9774597874729763,
462
+ "eval_runtime": 42.2223,
463
+ "eval_samples_per_second": 9.971,
464
+ "eval_steps_per_second": 1.255,
465
+ "step": 4172
466
+ },
467
+ {
468
+ "epoch": 14.09,
469
+ "learning_rate": 3.4842e-05,
470
+ "loss": 0.0303,
471
+ "step": 4200
472
+ },
473
+ {
474
+ "epoch": 14.43,
475
+ "learning_rate": 3.4243000000000004e-05,
476
+ "loss": 0.0343,
477
+ "step": 4300
478
+ },
479
+ {
480
+ "epoch": 14.77,
481
+ "learning_rate": 3.3644000000000005e-05,
482
+ "loss": 0.0335,
483
+ "step": 4400
484
+ },
485
+ {
486
+ "epoch": 15.0,
487
+ "eval_accuracy_background": 0.9796832466702566,
488
+ "eval_accuracy_biofilm": 0.9574497011920599,
489
+ "eval_iou_background": 0.9759324040093501,
490
+ "eval_iou_biofilm": 0.7816361156136958,
491
+ "eval_loss": 0.0546739436686039,
492
+ "eval_mean_accuracy": 0.9685664739311582,
493
+ "eval_mean_iou": 0.878784259811523,
494
+ "eval_overall_accuracy": 0.9778413749930411,
495
+ "eval_runtime": 37.6832,
496
+ "eval_samples_per_second": 11.172,
497
+ "eval_steps_per_second": 1.406,
498
+ "step": 4470
499
+ },
500
+ {
501
+ "epoch": 15.1,
502
+ "learning_rate": 3.3045000000000006e-05,
503
+ "loss": 0.0313,
504
+ "step": 4500
505
+ },
506
+ {
507
+ "epoch": 15.44,
508
+ "learning_rate": 3.2446e-05,
509
+ "loss": 0.0339,
510
+ "step": 4600
511
+ },
512
+ {
513
+ "epoch": 15.77,
514
+ "learning_rate": 3.1847e-05,
515
+ "loss": 0.0318,
516
+ "step": 4700
517
+ },
518
+ {
519
+ "epoch": 16.0,
520
+ "eval_accuracy_background": 0.9797073723461781,
521
+ "eval_accuracy_biofilm": 0.9690539801208882,
522
+ "eval_iou_background": 0.9769765375451227,
523
+ "eval_iou_biofilm": 0.7912820772512854,
524
+ "eval_loss": 0.056653887033462524,
525
+ "eval_mean_accuracy": 0.9743806762335332,
526
+ "eval_mean_iou": 0.8841293073982041,
527
+ "eval_overall_accuracy": 0.9788248238824042,
528
+ "eval_runtime": 37.2991,
529
+ "eval_samples_per_second": 11.287,
530
+ "eval_steps_per_second": 1.421,
531
+ "step": 4768
532
+ },
533
+ {
534
+ "epoch": 16.11,
535
+ "learning_rate": 3.1248e-05,
536
+ "loss": 0.0252,
537
+ "step": 4800
538
+ },
539
+ {
540
+ "epoch": 16.44,
541
+ "learning_rate": 3.0649000000000004e-05,
542
+ "loss": 0.0356,
543
+ "step": 4900
544
+ },
545
+ {
546
+ "epoch": 16.78,
547
+ "learning_rate": 3.0050000000000002e-05,
548
+ "loss": 0.0296,
549
+ "step": 5000
550
+ },
551
+ {
552
+ "epoch": 17.0,
553
+ "eval_accuracy_background": 0.9750898543115438,
554
+ "eval_accuracy_biofilm": 0.9731989435899523,
555
+ "eval_iou_background": 0.9727350600076411,
556
+ "eval_iou_biofilm": 0.7628239586435811,
557
+ "eval_loss": 0.0652761310338974,
558
+ "eval_mean_accuracy": 0.9741443989507481,
559
+ "eval_mean_iou": 0.8677795093256111,
560
+ "eval_overall_accuracy": 0.9749332074598008,
561
+ "eval_runtime": 38.0893,
562
+ "eval_samples_per_second": 11.053,
563
+ "eval_steps_per_second": 1.391,
564
+ "step": 5066
565
+ },
566
+ {
567
+ "epoch": 17.11,
568
+ "learning_rate": 2.9451e-05,
569
+ "loss": 0.0327,
570
+ "step": 5100
571
+ },
572
+ {
573
+ "epoch": 17.45,
574
+ "learning_rate": 2.8851999999999998e-05,
575
+ "loss": 0.0242,
576
+ "step": 5200
577
+ },
578
+ {
579
+ "epoch": 17.79,
580
+ "learning_rate": 2.8253e-05,
581
+ "loss": 0.0291,
582
+ "step": 5300
583
+ },
584
+ {
585
+ "epoch": 18.0,
586
+ "eval_accuracy_background": 0.9779925722556584,
587
+ "eval_accuracy_biofilm": 0.9656890958016385,
588
+ "eval_iou_background": 0.9749710182303591,
589
+ "eval_iou_biofilm": 0.7764971456659759,
590
+ "eval_loss": 0.05911598354578018,
591
+ "eval_mean_accuracy": 0.9718408340286484,
592
+ "eval_mean_iou": 0.8757340819481676,
593
+ "eval_overall_accuracy": 0.9769733274917421,
594
+ "eval_runtime": 39.7443,
595
+ "eval_samples_per_second": 10.593,
596
+ "eval_steps_per_second": 1.334,
597
+ "step": 5364
598
+ },
599
+ {
600
+ "epoch": 18.12,
601
+ "learning_rate": 2.7653999999999996e-05,
602
+ "loss": 0.0294,
603
+ "step": 5400
604
+ },
605
+ {
606
+ "epoch": 18.46,
607
+ "learning_rate": 2.7054999999999998e-05,
608
+ "loss": 0.0285,
609
+ "step": 5500
610
+ },
611
+ {
612
+ "epoch": 18.79,
613
+ "learning_rate": 2.6455999999999995e-05,
614
+ "loss": 0.0311,
615
+ "step": 5600
616
+ },
617
+ {
618
+ "epoch": 19.0,
619
+ "eval_accuracy_background": 0.9749307552595209,
620
+ "eval_accuracy_biofilm": 0.9756050261947778,
621
+ "eval_iou_background": 0.9727872491779792,
622
+ "eval_iou_biofilm": 0.7636555803554229,
623
+ "eval_loss": 0.0716165080666542,
624
+ "eval_mean_accuracy": 0.9752678907271494,
625
+ "eval_mean_iou": 0.8682214147667011,
626
+ "eval_overall_accuracy": 0.9749866132215196,
627
+ "eval_runtime": 39.0237,
628
+ "eval_samples_per_second": 10.788,
629
+ "eval_steps_per_second": 1.358,
630
+ "step": 5662
631
+ },
632
+ {
633
+ "epoch": 19.13,
634
+ "learning_rate": 2.5857e-05,
635
+ "loss": 0.0305,
636
+ "step": 5700
637
+ },
638
+ {
639
+ "epoch": 19.46,
640
+ "learning_rate": 2.5258e-05,
641
+ "loss": 0.0251,
642
+ "step": 5800
643
+ },
644
+ {
645
+ "epoch": 19.8,
646
+ "learning_rate": 2.4659e-05,
647
+ "loss": 0.0322,
648
+ "step": 5900
649
+ },
650
+ {
651
+ "epoch": 20.0,
652
+ "eval_accuracy_background": 0.9689511244827379,
653
+ "eval_accuracy_biofilm": 0.9856624908587893,
654
+ "eval_iou_background": 0.9676979255615963,
655
+ "eval_iou_biofilm": 0.7335177089475434,
656
+ "eval_loss": 0.08369491249322891,
657
+ "eval_mean_accuracy": 0.9773068076707636,
658
+ "eval_mean_iou": 0.8506078172545699,
659
+ "eval_overall_accuracy": 0.9703355277235888,
660
+ "eval_runtime": 49.7298,
661
+ "eval_samples_per_second": 8.466,
662
+ "eval_steps_per_second": 1.066,
663
+ "step": 5960
664
+ },
665
+ {
666
+ "epoch": 20.13,
667
+ "learning_rate": 2.406e-05,
668
+ "loss": 0.0342,
669
+ "step": 6000
670
+ },
671
+ {
672
+ "epoch": 20.47,
673
+ "learning_rate": 2.3460999999999998e-05,
674
+ "loss": 0.0271,
675
+ "step": 6100
676
+ },
677
+ {
678
+ "epoch": 20.81,
679
+ "learning_rate": 2.2862e-05,
680
+ "loss": 0.0317,
681
+ "step": 6200
682
+ },
683
+ {
684
+ "epoch": 21.0,
685
+ "eval_accuracy_background": 0.9747498028106353,
686
+ "eval_accuracy_biofilm": 0.9751122813027541,
687
+ "eval_iou_background": 0.9725635038307794,
688
+ "eval_iou_biofilm": 0.7620748531049232,
689
+ "eval_loss": 0.07276786863803864,
690
+ "eval_mean_accuracy": 0.9749310420566947,
691
+ "eval_mean_iou": 0.8673191784678513,
692
+ "eval_overall_accuracy": 0.9747798312588146,
693
+ "eval_runtime": 35.7518,
694
+ "eval_samples_per_second": 11.776,
695
+ "eval_steps_per_second": 1.482,
696
+ "step": 6258
697
+ },
698
+ {
699
+ "epoch": 21.14,
700
+ "learning_rate": 2.2263e-05,
701
+ "loss": 0.0325,
702
+ "step": 6300
703
+ },
704
+ {
705
+ "epoch": 21.48,
706
+ "learning_rate": 2.1663999999999998e-05,
707
+ "loss": 0.0274,
708
+ "step": 6400
709
+ },
710
+ {
711
+ "epoch": 21.81,
712
+ "learning_rate": 2.1065e-05,
713
+ "loss": 0.0318,
714
+ "step": 6500
715
+ },
716
+ {
717
+ "epoch": 22.0,
718
+ "eval_accuracy_background": 0.9779468204107802,
719
+ "eval_accuracy_biofilm": 0.9748187125368957,
720
+ "eval_iou_background": 0.975727535876573,
721
+ "eval_iou_biofilm": 0.7835190231390492,
722
+ "eval_loss": 0.05713406950235367,
723
+ "eval_mean_accuracy": 0.9763827664738379,
724
+ "eval_mean_iou": 0.8796232795078112,
725
+ "eval_overall_accuracy": 0.9776876816557025,
726
+ "eval_runtime": 37.7555,
727
+ "eval_samples_per_second": 11.151,
728
+ "eval_steps_per_second": 1.404,
729
+ "step": 6556
730
+ },
731
+ {
732
+ "epoch": 22.15,
733
+ "learning_rate": 2.0465999999999997e-05,
734
+ "loss": 0.028,
735
+ "step": 6600
736
+ },
737
+ {
738
+ "epoch": 22.48,
739
+ "learning_rate": 1.9866999999999998e-05,
740
+ "loss": 0.032,
741
+ "step": 6700
742
+ },
743
+ {
744
+ "epoch": 22.82,
745
+ "learning_rate": 1.9267999999999996e-05,
746
+ "loss": 0.0288,
747
+ "step": 6800
748
+ },
749
+ {
750
+ "epoch": 23.0,
751
+ "eval_accuracy_background": 0.9739446157863604,
752
+ "eval_accuracy_biofilm": 0.9857514146317561,
753
+ "eval_iou_background": 0.9726927610782381,
754
+ "eval_iou_biofilm": 0.7650595879265402,
755
+ "eval_loss": 0.0734483152627945,
756
+ "eval_mean_accuracy": 0.9798480152090583,
757
+ "eval_mean_iou": 0.8688761745023892,
758
+ "eval_overall_accuracy": 0.9749227147770607,
759
+ "eval_runtime": 46.8883,
760
+ "eval_samples_per_second": 8.979,
761
+ "eval_steps_per_second": 1.13,
762
+ "step": 6854
763
+ },
764
+ {
765
+ "epoch": 23.15,
766
+ "learning_rate": 1.8669e-05,
767
+ "loss": 0.0289,
768
+ "step": 6900
769
+ },
770
+ {
771
+ "epoch": 23.49,
772
+ "learning_rate": 1.807e-05,
773
+ "loss": 0.027,
774
+ "step": 7000
775
+ },
776
+ {
777
+ "epoch": 23.83,
778
+ "learning_rate": 1.7471e-05,
779
+ "loss": 0.0271,
780
+ "step": 7100
781
+ },
782
+ {
783
+ "epoch": 24.0,
784
+ "eval_accuracy_background": 0.972814018641896,
785
+ "eval_accuracy_biofilm": 0.978510088199695,
786
+ "eval_iou_background": 0.9709293770594603,
787
+ "eval_iou_biofilm": 0.7521327216630714,
788
+ "eval_loss": 0.076332226395607,
789
+ "eval_mean_accuracy": 0.9756620534207955,
790
+ "eval_mean_iou": 0.8615310493612658,
791
+ "eval_overall_accuracy": 0.9732858925137554,
792
+ "eval_runtime": 36.16,
793
+ "eval_samples_per_second": 11.643,
794
+ "eval_steps_per_second": 1.466,
795
+ "step": 7152
796
+ },
797
+ {
798
+ "epoch": 24.16,
799
+ "learning_rate": 1.6872e-05,
800
+ "loss": 0.0283,
801
+ "step": 7200
802
+ },
803
+ {
804
+ "epoch": 24.5,
805
+ "learning_rate": 1.6272999999999998e-05,
806
+ "loss": 0.0297,
807
+ "step": 7300
808
+ },
809
+ {
810
+ "epoch": 24.83,
811
+ "learning_rate": 1.5674e-05,
812
+ "loss": 0.0236,
813
+ "step": 7400
814
+ },
815
+ {
816
+ "epoch": 25.0,
817
+ "eval_accuracy_background": 0.9778205014540511,
818
+ "eval_accuracy_biofilm": 0.9743987035723294,
819
+ "eval_iou_background": 0.9755645773978452,
820
+ "eval_iou_biofilm": 0.782302086379391,
821
+ "eval_loss": 0.06149207800626755,
822
+ "eval_mean_accuracy": 0.9761096025131902,
823
+ "eval_mean_iou": 0.8789333318886181,
824
+ "eval_overall_accuracy": 0.9775370328273456,
825
+ "eval_runtime": 40.2647,
826
+ "eval_samples_per_second": 10.456,
827
+ "eval_steps_per_second": 1.316,
828
+ "step": 7450
829
+ },
830
+ {
831
+ "epoch": 25.17,
832
+ "learning_rate": 1.5075000000000002e-05,
833
+ "loss": 0.0291,
834
+ "step": 7500
835
+ },
836
+ {
837
+ "epoch": 25.5,
838
+ "learning_rate": 1.4476e-05,
839
+ "loss": 0.0321,
840
+ "step": 7600
841
+ },
842
+ {
843
+ "epoch": 25.84,
844
+ "learning_rate": 1.3877e-05,
845
+ "loss": 0.025,
846
+ "step": 7700
847
+ },
848
+ {
849
+ "epoch": 26.0,
850
+ "eval_accuracy_background": 0.9745930056760939,
851
+ "eval_accuracy_biofilm": 0.9789610509499312,
852
+ "eval_iou_background": 0.9727444637541749,
853
+ "eval_iou_biofilm": 0.7640462041578552,
854
+ "eval_loss": 0.06944210827350616,
855
+ "eval_mean_accuracy": 0.9767770283130126,
856
+ "eval_mean_iou": 0.8683953339560151,
857
+ "eval_overall_accuracy": 0.9749548633421402,
858
+ "eval_runtime": 55.2645,
859
+ "eval_samples_per_second": 7.618,
860
+ "eval_steps_per_second": 0.959,
861
+ "step": 7748
862
+ },
863
+ {
864
+ "epoch": 26.17,
865
+ "learning_rate": 1.3277999999999999e-05,
866
+ "loss": 0.0268,
867
+ "step": 7800
868
+ },
869
+ {
870
+ "epoch": 26.51,
871
+ "learning_rate": 1.2678999999999998e-05,
872
+ "loss": 0.0244,
873
+ "step": 7900
874
+ },
875
+ {
876
+ "epoch": 26.85,
877
+ "learning_rate": 1.2079999999999998e-05,
878
+ "loss": 0.0269,
879
+ "step": 8000
880
+ },
881
+ {
882
+ "epoch": 27.0,
883
+ "eval_accuracy_background": 0.9771220226302791,
884
+ "eval_accuracy_biofilm": 0.960469500020891,
885
+ "eval_iou_background": 0.9736455430570266,
886
+ "eval_iou_biofilm": 0.7663610094629515,
887
+ "eval_loss": 0.06723381578922272,
888
+ "eval_mean_accuracy": 0.9687957613255851,
889
+ "eval_mean_iou": 0.870003276259989,
890
+ "eval_overall_accuracy": 0.9757424941255475,
891
+ "eval_runtime": 37.9403,
892
+ "eval_samples_per_second": 11.096,
893
+ "eval_steps_per_second": 1.397,
894
+ "step": 8046
895
+ },
896
+ {
897
+ "epoch": 27.18,
898
+ "learning_rate": 1.1480999999999997e-05,
899
+ "loss": 0.0259,
900
+ "step": 8100
901
+ },
902
+ {
903
+ "epoch": 27.52,
904
+ "learning_rate": 1.0882000000000004e-05,
905
+ "loss": 0.0266,
906
+ "step": 8200
907
+ },
908
+ {
909
+ "epoch": 27.85,
910
+ "learning_rate": 1.0283000000000003e-05,
911
+ "loss": 0.0286,
912
+ "step": 8300
913
+ },
914
+ {
915
+ "epoch": 28.0,
916
+ "eval_accuracy_background": 0.9750909311742283,
917
+ "eval_accuracy_biofilm": 0.9771423246314913,
918
+ "eval_iou_background": 0.9730818941205164,
919
+ "eval_iou_biofilm": 0.7659220622984121,
920
+ "eval_loss": 0.07173090428113937,
921
+ "eval_mean_accuracy": 0.9761166279028598,
922
+ "eval_mean_iou": 0.8695019782094642,
923
+ "eval_overall_accuracy": 0.9752608727389447,
924
+ "eval_runtime": 35.9819,
925
+ "eval_samples_per_second": 11.7,
926
+ "eval_steps_per_second": 1.473,
927
+ "step": 8344
928
+ },
929
+ {
930
+ "epoch": 28.19,
931
+ "learning_rate": 9.684000000000002e-06,
932
+ "loss": 0.0251,
933
+ "step": 8400
934
+ },
935
+ {
936
+ "epoch": 28.52,
937
+ "learning_rate": 9.085000000000002e-06,
938
+ "loss": 0.0279,
939
+ "step": 8500
940
+ },
941
+ {
942
+ "epoch": 28.86,
943
+ "learning_rate": 8.486000000000001e-06,
944
+ "loss": 0.0255,
945
+ "step": 8600
946
+ },
947
+ {
948
+ "epoch": 29.0,
949
+ "eval_accuracy_background": 0.975236712695071,
950
+ "eval_accuracy_biofilm": 0.9761052087455492,
951
+ "eval_iou_background": 0.9731364024346435,
952
+ "eval_iou_biofilm": 0.766078291549781,
953
+ "eval_loss": 0.06798449903726578,
954
+ "eval_mean_accuracy": 0.97567096072031,
955
+ "eval_mean_iou": 0.8696073469922123,
956
+ "eval_overall_accuracy": 0.9753086606567093,
957
+ "eval_runtime": 44.2109,
958
+ "eval_samples_per_second": 9.523,
959
+ "eval_steps_per_second": 1.199,
960
+ "step": 8642
961
+ },
962
+ {
963
+ "epoch": 29.19,
964
+ "learning_rate": 7.887000000000001e-06,
965
+ "loss": 0.0259,
966
+ "step": 8700
967
+ },
968
+ {
969
+ "epoch": 29.53,
970
+ "learning_rate": 7.2879999999999995e-06,
971
+ "loss": 0.0203,
972
+ "step": 8800
973
+ },
974
+ {
975
+ "epoch": 29.87,
976
+ "learning_rate": 6.688999999999999e-06,
977
+ "loss": 0.0255,
978
+ "step": 8900
979
+ },
980
+ {
981
+ "epoch": 30.0,
982
+ "eval_accuracy_background": 0.9750821088037951,
983
+ "eval_accuracy_biofilm": 0.9761836322944017,
984
+ "eval_iou_background": 0.972989008909675,
985
+ "eval_iou_biofilm": 0.7651120245866856,
986
+ "eval_loss": 0.07014213502407074,
987
+ "eval_mean_accuracy": 0.9756328705490984,
988
+ "eval_mean_iou": 0.8690505167481803,
989
+ "eval_overall_accuracy": 0.9751733612278012,
990
+ "eval_runtime": 39.1087,
991
+ "eval_samples_per_second": 10.765,
992
+ "eval_steps_per_second": 1.355,
993
+ "step": 8940
994
+ },
995
+ {
996
+ "epoch": 30.2,
997
+ "learning_rate": 6.0899999999999984e-06,
998
+ "loss": 0.0275,
999
+ "step": 9000
1000
+ },
1001
+ {
1002
+ "epoch": 30.54,
1003
+ "learning_rate": 5.490999999999998e-06,
1004
+ "loss": 0.0226,
1005
+ "step": 9100
1006
+ },
1007
+ {
1008
+ "epoch": 30.87,
1009
+ "learning_rate": 4.891999999999997e-06,
1010
+ "loss": 0.0223,
1011
+ "step": 9200
1012
+ },
1013
+ {
1014
+ "epoch": 31.0,
1015
+ "eval_accuracy_background": 0.9752435888090928,
1016
+ "eval_accuracy_biofilm": 0.973966334968962,
1017
+ "eval_iou_background": 0.9729557002116117,
1018
+ "eval_iou_biofilm": 0.7644453086469036,
1019
+ "eval_loss": 0.07151468098163605,
1020
+ "eval_mean_accuracy": 0.9746049618890273,
1021
+ "eval_mean_iou": 0.8687005044292577,
1022
+ "eval_overall_accuracy": 0.9751377785290788,
1023
+ "eval_runtime": 37.133,
1024
+ "eval_samples_per_second": 11.338,
1025
+ "eval_steps_per_second": 1.427,
1026
+ "step": 9238
1027
+ },
1028
+ {
1029
+ "epoch": 31.21,
1030
+ "learning_rate": 4.292999999999997e-06,
1031
+ "loss": 0.0252,
1032
+ "step": 9300
1033
+ },
1034
+ {
1035
+ "epoch": 31.54,
1036
+ "learning_rate": 3.694000000000003e-06,
1037
+ "loss": 0.0245,
1038
+ "step": 9400
1039
+ },
1040
+ {
1041
+ "epoch": 31.88,
1042
+ "learning_rate": 3.0950000000000026e-06,
1043
+ "loss": 0.0226,
1044
+ "step": 9500
1045
+ },
1046
+ {
1047
+ "epoch": 32.0,
1048
+ "eval_accuracy_background": 0.9740456926865868,
1049
+ "eval_accuracy_biofilm": 0.9798657108837667,
1050
+ "eval_iou_background": 0.9722774860170023,
1051
+ "eval_iou_biofilm": 0.7611526526123397,
1052
+ "eval_loss": 0.07574102282524109,
1053
+ "eval_mean_accuracy": 0.9769557017851768,
1054
+ "eval_mean_iou": 0.866715069314671,
1055
+ "eval_overall_accuracy": 0.9745278347133174,
1056
+ "eval_runtime": 59.1551,
1057
+ "eval_samples_per_second": 7.117,
1058
+ "eval_steps_per_second": 0.896,
1059
+ "step": 9536
1060
+ },
1061
+ {
1062
+ "epoch": 32.21,
1063
+ "learning_rate": 2.496000000000002e-06,
1064
+ "loss": 0.0238,
1065
+ "step": 9600
1066
+ },
1067
+ {
1068
+ "epoch": 32.55,
1069
+ "learning_rate": 1.8970000000000013e-06,
1070
+ "loss": 0.0267,
1071
+ "step": 9700
1072
+ },
1073
+ {
1074
+ "epoch": 32.89,
1075
+ "learning_rate": 1.298000000000001e-06,
1076
+ "loss": 0.022,
1077
+ "step": 9800
1078
+ },
1079
+ {
1080
+ "epoch": 33.0,
1081
+ "eval_accuracy_background": 0.9739469967396353,
1082
+ "eval_accuracy_biofilm": 0.979320246116503,
1083
+ "eval_iou_background": 0.9721311603118579,
1084
+ "eval_iou_biofilm": 0.7600837912803893,
1085
+ "eval_loss": 0.07727000117301941,
1086
+ "eval_mean_accuracy": 0.9766336214280691,
1087
+ "eval_mean_iou": 0.8661074757961236,
1088
+ "eval_overall_accuracy": 0.9743921275376707,
1089
+ "eval_runtime": 88.8193,
1090
+ "eval_samples_per_second": 4.74,
1091
+ "eval_steps_per_second": 0.597,
1092
+ "step": 9834
1093
+ },
1094
+ {
1095
+ "epoch": 33.22,
1096
+ "learning_rate": 6.990000000000005e-07,
1097
+ "loss": 0.0267,
1098
+ "step": 9900
1099
+ },
1100
+ {
1101
+ "epoch": 33.56,
1102
+ "learning_rate": 1e-07,
1103
+ "loss": 0.0217,
1104
+ "step": 10000
1105
+ },
1106
+ {
1107
+ "epoch": 33.56,
1108
+ "eval_accuracy_background": 0.9741039025483926,
1109
+ "eval_accuracy_biofilm": 0.9788809867410607,
1110
+ "eval_iou_background": 0.972249270572151,
1111
+ "eval_iou_biofilm": 0.760768570598912,
1112
+ "eval_loss": 0.07605621963739395,
1113
+ "eval_mean_accuracy": 0.9764924446447267,
1114
+ "eval_mean_iou": 0.8665089205855315,
1115
+ "eval_overall_accuracy": 0.9744996458221218,
1116
+ "eval_runtime": 38.0239,
1117
+ "eval_samples_per_second": 11.072,
1118
+ "eval_steps_per_second": 1.394,
1119
+ "step": 10000
1120
+ },
1121
+ {
1122
+ "epoch": 33.56,
1123
+ "step": 10000,
1124
+ "total_flos": 1.3999227515940372e+18,
1125
+ "train_loss": 0.03925841097831726,
1126
+ "train_runtime": 10202.8764,
1127
+ "train_samples_per_second": 7.841,
1128
+ "train_steps_per_second": 0.98
1129
+ }
1130
+ ],
1131
+ "logging_steps": 100,
1132
+ "max_steps": 10000,
1133
+ "num_input_tokens_seen": 0,
1134
+ "num_train_epochs": 34,
1135
+ "save_steps": 500,
1136
+ "total_flos": 1.3999227515940372e+18,
1137
+ "train_batch_size": 8,
1138
+ "trial_name": null,
1139
+ "trial_params": null
1140
+ }