End of training
Browse files- README.md +3 -1
- all_results.json +8 -8
- eval_results.json +4 -4
- runs/Jul08_14-59-32_gpu-1-102.local/events.out.tfevents.1720456578.gpu-1-102.local.13048.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +369 -369
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-biofilm_MRCNNv1
|
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# segformer-finetuned-biofilm_MRCNNv1
|
15 |
|
16 |
-
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on
|
17 |
It achieves the following results on the evaluation set:
|
18 |
- Loss: 0.0003
|
19 |
- Mean Iou: 0.0
|
|
|
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-biofilm_MRCNNv1
|
|
|
15 |
|
16 |
# segformer-finetuned-biofilm_MRCNNv1
|
17 |
|
18 |
+
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the heroza/biofilm_MRCNNv1 dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.0003
|
21 |
- Mean Iou: 0.0
|
all_results.json
CHANGED
@@ -4,15 +4,15 @@
|
|
4 |
"eval_accuracy_biofilm": NaN,
|
5 |
"eval_iou_background": 0.0,
|
6 |
"eval_iou_biofilm": 0.0,
|
7 |
-
"eval_loss":
|
8 |
"eval_mean_accuracy": NaN,
|
9 |
"eval_mean_iou": 0.0,
|
10 |
"eval_overall_accuracy": NaN,
|
11 |
-
"eval_runtime":
|
12 |
-
"eval_samples_per_second":
|
13 |
-
"eval_steps_per_second":
|
14 |
-
"train_loss": 0.
|
15 |
-
"train_runtime":
|
16 |
-
"train_samples_per_second": 8.
|
17 |
-
"train_steps_per_second": 1.
|
18 |
}
|
|
|
4 |
"eval_accuracy_biofilm": NaN,
|
5 |
"eval_iou_background": 0.0,
|
6 |
"eval_iou_biofilm": 0.0,
|
7 |
+
"eval_loss": 0.0003163300279993564,
|
8 |
"eval_mean_accuracy": NaN,
|
9 |
"eval_mean_iou": 0.0,
|
10 |
"eval_overall_accuracy": NaN,
|
11 |
+
"eval_runtime": 16.3717,
|
12 |
+
"eval_samples_per_second": 15.576,
|
13 |
+
"eval_steps_per_second": 1.955,
|
14 |
+
"train_loss": 0.005610336132813245,
|
15 |
+
"train_runtime": 9371.2884,
|
16 |
+
"train_samples_per_second": 8.537,
|
17 |
+
"train_steps_per_second": 1.067
|
18 |
}
|
eval_results.json
CHANGED
@@ -4,11 +4,11 @@
|
|
4 |
"eval_accuracy_biofilm": NaN,
|
5 |
"eval_iou_background": 0.0,
|
6 |
"eval_iou_biofilm": 0.0,
|
7 |
-
"eval_loss":
|
8 |
"eval_mean_accuracy": NaN,
|
9 |
"eval_mean_iou": 0.0,
|
10 |
"eval_overall_accuracy": NaN,
|
11 |
-
"eval_runtime":
|
12 |
-
"eval_samples_per_second":
|
13 |
-
"eval_steps_per_second":
|
14 |
}
|
|
|
4 |
"eval_accuracy_biofilm": NaN,
|
5 |
"eval_iou_background": 0.0,
|
6 |
"eval_iou_biofilm": 0.0,
|
7 |
+
"eval_loss": 0.0003163300279993564,
|
8 |
"eval_mean_accuracy": NaN,
|
9 |
"eval_mean_iou": 0.0,
|
10 |
"eval_overall_accuracy": NaN,
|
11 |
+
"eval_runtime": 16.3717,
|
12 |
+
"eval_samples_per_second": 15.576,
|
13 |
+
"eval_steps_per_second": 1.955
|
14 |
}
|
runs/Jul08_14-59-32_gpu-1-102.local/events.out.tfevents.1720456578.gpu-1-102.local.13048.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5abad93dc1cb04ce753fcd50d37ffb0c190acf7e9367bfe140ea99e884a4e617
|
3 |
+
size 764
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 78.12,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 8.
|
6 |
-
"train_steps_per_second": 1.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 78.12,
|
3 |
+
"train_loss": 0.005610336132813245,
|
4 |
+
"train_runtime": 9371.2884,
|
5 |
+
"train_samples_per_second": 8.537,
|
6 |
+
"train_steps_per_second": 1.067
|
7 |
}
|
trainer_state.json
CHANGED
@@ -11,7 +11,7 @@
|
|
11 |
{
|
12 |
"epoch": 0.78,
|
13 |
"learning_rate": 5.9401e-05,
|
14 |
-
"loss": 0.
|
15 |
"step": 100
|
16 |
},
|
17 |
{
|
@@ -20,19 +20,19 @@
|
|
20 |
"eval_accuracy_biofilm": NaN,
|
21 |
"eval_iou_background": 0.0,
|
22 |
"eval_iou_biofilm": 0.0,
|
23 |
-
"eval_loss": 0.
|
24 |
"eval_mean_accuracy": NaN,
|
25 |
"eval_mean_iou": 0.0,
|
26 |
"eval_overall_accuracy": NaN,
|
27 |
-
"eval_runtime":
|
28 |
-
"eval_samples_per_second":
|
29 |
-
"eval_steps_per_second": 1.
|
30 |
"step": 128
|
31 |
},
|
32 |
{
|
33 |
"epoch": 1.56,
|
34 |
"learning_rate": 5.8802000000000004e-05,
|
35 |
-
"loss": 0.
|
36 |
"step": 200
|
37 |
},
|
38 |
{
|
@@ -41,19 +41,19 @@
|
|
41 |
"eval_accuracy_biofilm": NaN,
|
42 |
"eval_iou_background": 0.0,
|
43 |
"eval_iou_biofilm": 0.0,
|
44 |
-
"eval_loss": 0.
|
45 |
"eval_mean_accuracy": NaN,
|
46 |
"eval_mean_iou": 0.0,
|
47 |
"eval_overall_accuracy": NaN,
|
48 |
-
"eval_runtime":
|
49 |
-
"eval_samples_per_second": 15.
|
50 |
-
"eval_steps_per_second":
|
51 |
"step": 256
|
52 |
},
|
53 |
{
|
54 |
"epoch": 2.34,
|
55 |
"learning_rate": 5.8203e-05,
|
56 |
-
"loss": 0.
|
57 |
"step": 300
|
58 |
},
|
59 |
{
|
@@ -62,25 +62,25 @@
|
|
62 |
"eval_accuracy_biofilm": NaN,
|
63 |
"eval_iou_background": 0.0,
|
64 |
"eval_iou_biofilm": 0.0,
|
65 |
-
"eval_loss": 0.
|
66 |
"eval_mean_accuracy": NaN,
|
67 |
"eval_mean_iou": 0.0,
|
68 |
"eval_overall_accuracy": NaN,
|
69 |
-
"eval_runtime": 15.
|
70 |
-
"eval_samples_per_second": 16.
|
71 |
-
"eval_steps_per_second": 2.
|
72 |
"step": 384
|
73 |
},
|
74 |
{
|
75 |
"epoch": 3.12,
|
76 |
"learning_rate": 5.7604e-05,
|
77 |
-
"loss": 0.
|
78 |
"step": 400
|
79 |
},
|
80 |
{
|
81 |
"epoch": 3.91,
|
82 |
"learning_rate": 5.7005e-05,
|
83 |
-
"loss": 0.
|
84 |
"step": 500
|
85 |
},
|
86 |
{
|
@@ -89,19 +89,19 @@
|
|
89 |
"eval_accuracy_biofilm": NaN,
|
90 |
"eval_iou_background": 0.0,
|
91 |
"eval_iou_biofilm": 0.0,
|
92 |
-
"eval_loss": 0.
|
93 |
"eval_mean_accuracy": NaN,
|
94 |
"eval_mean_iou": 0.0,
|
95 |
"eval_overall_accuracy": NaN,
|
96 |
-
"eval_runtime":
|
97 |
-
"eval_samples_per_second":
|
98 |
-
"eval_steps_per_second":
|
99 |
"step": 512
|
100 |
},
|
101 |
{
|
102 |
"epoch": 4.69,
|
103 |
"learning_rate": 5.6406e-05,
|
104 |
-
"loss": 0.
|
105 |
"step": 600
|
106 |
},
|
107 |
{
|
@@ -110,19 +110,19 @@
|
|
110 |
"eval_accuracy_biofilm": NaN,
|
111 |
"eval_iou_background": 0.0,
|
112 |
"eval_iou_biofilm": 0.0,
|
113 |
-
"eval_loss": 0.
|
114 |
"eval_mean_accuracy": NaN,
|
115 |
"eval_mean_iou": 0.0,
|
116 |
"eval_overall_accuracy": NaN,
|
117 |
-
"eval_runtime": 15.
|
118 |
-
"eval_samples_per_second": 16.
|
119 |
-
"eval_steps_per_second": 2.
|
120 |
"step": 640
|
121 |
},
|
122 |
{
|
123 |
"epoch": 5.47,
|
124 |
"learning_rate": 5.5806999999999996e-05,
|
125 |
-
"loss": 0.
|
126 |
"step": 700
|
127 |
},
|
128 |
{
|
@@ -131,19 +131,19 @@
|
|
131 |
"eval_accuracy_biofilm": NaN,
|
132 |
"eval_iou_background": 0.0,
|
133 |
"eval_iou_biofilm": 0.0,
|
134 |
-
"eval_loss": 0.
|
135 |
"eval_mean_accuracy": NaN,
|
136 |
"eval_mean_iou": 0.0,
|
137 |
"eval_overall_accuracy": NaN,
|
138 |
-
"eval_runtime": 15.
|
139 |
-
"eval_samples_per_second":
|
140 |
-
"eval_steps_per_second": 2.
|
141 |
"step": 768
|
142 |
},
|
143 |
{
|
144 |
"epoch": 6.25,
|
145 |
"learning_rate": 5.5208000000000004e-05,
|
146 |
-
"loss": 0.
|
147 |
"step": 800
|
148 |
},
|
149 |
{
|
@@ -152,25 +152,25 @@
|
|
152 |
"eval_accuracy_biofilm": NaN,
|
153 |
"eval_iou_background": 0.0,
|
154 |
"eval_iou_biofilm": 0.0,
|
155 |
-
"eval_loss": 0.
|
156 |
"eval_mean_accuracy": NaN,
|
157 |
"eval_mean_iou": 0.0,
|
158 |
"eval_overall_accuracy": NaN,
|
159 |
-
"eval_runtime":
|
160 |
-
"eval_samples_per_second":
|
161 |
-
"eval_steps_per_second":
|
162 |
"step": 896
|
163 |
},
|
164 |
{
|
165 |
"epoch": 7.03,
|
166 |
"learning_rate": 5.4609000000000005e-05,
|
167 |
-
"loss": 0.
|
168 |
"step": 900
|
169 |
},
|
170 |
{
|
171 |
"epoch": 7.81,
|
172 |
"learning_rate": 5.401e-05,
|
173 |
-
"loss": 0.
|
174 |
"step": 1000
|
175 |
},
|
176 |
{
|
@@ -179,19 +179,19 @@
|
|
179 |
"eval_accuracy_biofilm": NaN,
|
180 |
"eval_iou_background": 0.0,
|
181 |
"eval_iou_biofilm": 0.0,
|
182 |
-
"eval_loss": 0.
|
183 |
"eval_mean_accuracy": NaN,
|
184 |
"eval_mean_iou": 0.0,
|
185 |
"eval_overall_accuracy": NaN,
|
186 |
-
"eval_runtime": 15.
|
187 |
-
"eval_samples_per_second":
|
188 |
-
"eval_steps_per_second": 2.
|
189 |
"step": 1024
|
190 |
},
|
191 |
{
|
192 |
"epoch": 8.59,
|
193 |
"learning_rate": 5.3411e-05,
|
194 |
-
"loss": 0.
|
195 |
"step": 1100
|
196 |
},
|
197 |
{
|
@@ -200,19 +200,19 @@
|
|
200 |
"eval_accuracy_biofilm": NaN,
|
201 |
"eval_iou_background": 0.0,
|
202 |
"eval_iou_biofilm": 0.0,
|
203 |
-
"eval_loss": 0.
|
204 |
"eval_mean_accuracy": NaN,
|
205 |
"eval_mean_iou": 0.0,
|
206 |
"eval_overall_accuracy": NaN,
|
207 |
-
"eval_runtime": 15.
|
208 |
-
"eval_samples_per_second":
|
209 |
-
"eval_steps_per_second": 2.
|
210 |
"step": 1152
|
211 |
},
|
212 |
{
|
213 |
"epoch": 9.38,
|
214 |
"learning_rate": 5.2812e-05,
|
215 |
-
"loss": 0.
|
216 |
"step": 1200
|
217 |
},
|
218 |
{
|
@@ -221,25 +221,25 @@
|
|
221 |
"eval_accuracy_biofilm": NaN,
|
222 |
"eval_iou_background": 0.0,
|
223 |
"eval_iou_biofilm": 0.0,
|
224 |
-
"eval_loss": 0.
|
225 |
"eval_mean_accuracy": NaN,
|
226 |
"eval_mean_iou": 0.0,
|
227 |
"eval_overall_accuracy": NaN,
|
228 |
-
"eval_runtime":
|
229 |
-
"eval_samples_per_second":
|
230 |
-
"eval_steps_per_second":
|
231 |
"step": 1280
|
232 |
},
|
233 |
{
|
234 |
"epoch": 10.16,
|
235 |
"learning_rate": 5.2213e-05,
|
236 |
-
"loss": 0.
|
237 |
"step": 1300
|
238 |
},
|
239 |
{
|
240 |
"epoch": 10.94,
|
241 |
"learning_rate": 5.1614000000000004e-05,
|
242 |
-
"loss": 0.
|
243 |
"step": 1400
|
244 |
},
|
245 |
{
|
@@ -248,19 +248,19 @@
|
|
248 |
"eval_accuracy_biofilm": NaN,
|
249 |
"eval_iou_background": 0.0,
|
250 |
"eval_iou_biofilm": 0.0,
|
251 |
-
"eval_loss": 0.
|
252 |
"eval_mean_accuracy": NaN,
|
253 |
"eval_mean_iou": 0.0,
|
254 |
"eval_overall_accuracy": NaN,
|
255 |
-
"eval_runtime":
|
256 |
-
"eval_samples_per_second":
|
257 |
-
"eval_steps_per_second":
|
258 |
"step": 1408
|
259 |
},
|
260 |
{
|
261 |
"epoch": 11.72,
|
262 |
"learning_rate": 5.1015e-05,
|
263 |
-
"loss": 0.
|
264 |
"step": 1500
|
265 |
},
|
266 |
{
|
@@ -269,19 +269,19 @@
|
|
269 |
"eval_accuracy_biofilm": NaN,
|
270 |
"eval_iou_background": 0.0,
|
271 |
"eval_iou_biofilm": 0.0,
|
272 |
-
"eval_loss": 0.
|
273 |
"eval_mean_accuracy": NaN,
|
274 |
"eval_mean_iou": 0.0,
|
275 |
"eval_overall_accuracy": NaN,
|
276 |
-
"eval_runtime": 15.
|
277 |
-
"eval_samples_per_second":
|
278 |
-
"eval_steps_per_second": 2.
|
279 |
"step": 1536
|
280 |
},
|
281 |
{
|
282 |
"epoch": 12.5,
|
283 |
"learning_rate": 5.0416e-05,
|
284 |
-
"loss": 0.
|
285 |
"step": 1600
|
286 |
},
|
287 |
{
|
@@ -290,19 +290,19 @@
|
|
290 |
"eval_accuracy_biofilm": NaN,
|
291 |
"eval_iou_background": 0.0,
|
292 |
"eval_iou_biofilm": 0.0,
|
293 |
-
"eval_loss": 0.
|
294 |
"eval_mean_accuracy": NaN,
|
295 |
"eval_mean_iou": 0.0,
|
296 |
"eval_overall_accuracy": NaN,
|
297 |
-
"eval_runtime": 15.
|
298 |
-
"eval_samples_per_second": 16.
|
299 |
-
"eval_steps_per_second": 2.
|
300 |
"step": 1664
|
301 |
},
|
302 |
{
|
303 |
"epoch": 13.28,
|
304 |
"learning_rate": 4.9817e-05,
|
305 |
-
"loss": 0.
|
306 |
"step": 1700
|
307 |
},
|
308 |
{
|
@@ -311,25 +311,25 @@
|
|
311 |
"eval_accuracy_biofilm": NaN,
|
312 |
"eval_iou_background": 0.0,
|
313 |
"eval_iou_biofilm": 0.0,
|
314 |
-
"eval_loss": 0.
|
315 |
"eval_mean_accuracy": NaN,
|
316 |
"eval_mean_iou": 0.0,
|
317 |
"eval_overall_accuracy": NaN,
|
318 |
-
"eval_runtime": 15.
|
319 |
-
"eval_samples_per_second":
|
320 |
-
"eval_steps_per_second": 2.
|
321 |
"step": 1792
|
322 |
},
|
323 |
{
|
324 |
"epoch": 14.06,
|
325 |
"learning_rate": 4.9218e-05,
|
326 |
-
"loss": 0.
|
327 |
"step": 1800
|
328 |
},
|
329 |
{
|
330 |
"epoch": 14.84,
|
331 |
"learning_rate": 4.8619e-05,
|
332 |
-
"loss": 0.
|
333 |
"step": 1900
|
334 |
},
|
335 |
{
|
@@ -338,13 +338,13 @@
|
|
338 |
"eval_accuracy_biofilm": NaN,
|
339 |
"eval_iou_background": 0.0,
|
340 |
"eval_iou_biofilm": 0.0,
|
341 |
-
"eval_loss": 0.
|
342 |
"eval_mean_accuracy": NaN,
|
343 |
"eval_mean_iou": 0.0,
|
344 |
"eval_overall_accuracy": NaN,
|
345 |
-
"eval_runtime": 15.
|
346 |
-
"eval_samples_per_second": 16.
|
347 |
-
"eval_steps_per_second": 2.
|
348 |
"step": 1920
|
349 |
},
|
350 |
{
|
@@ -359,19 +359,19 @@
|
|
359 |
"eval_accuracy_biofilm": NaN,
|
360 |
"eval_iou_background": 0.0,
|
361 |
"eval_iou_biofilm": 0.0,
|
362 |
-
"eval_loss": 0.
|
363 |
"eval_mean_accuracy": NaN,
|
364 |
"eval_mean_iou": 0.0,
|
365 |
"eval_overall_accuracy": NaN,
|
366 |
-
"eval_runtime": 15.
|
367 |
-
"eval_samples_per_second": 16.
|
368 |
-
"eval_steps_per_second": 2.
|
369 |
"step": 2048
|
370 |
},
|
371 |
{
|
372 |
"epoch": 16.41,
|
373 |
"learning_rate": 4.7421000000000006e-05,
|
374 |
-
"loss": 0.
|
375 |
"step": 2100
|
376 |
},
|
377 |
{
|
@@ -380,25 +380,25 @@
|
|
380 |
"eval_accuracy_biofilm": NaN,
|
381 |
"eval_iou_background": 0.0,
|
382 |
"eval_iou_biofilm": 0.0,
|
383 |
-
"eval_loss": 0.
|
384 |
"eval_mean_accuracy": NaN,
|
385 |
"eval_mean_iou": 0.0,
|
386 |
"eval_overall_accuracy": NaN,
|
387 |
-
"eval_runtime":
|
388 |
-
"eval_samples_per_second":
|
389 |
-
"eval_steps_per_second":
|
390 |
"step": 2176
|
391 |
},
|
392 |
{
|
393 |
"epoch": 17.19,
|
394 |
"learning_rate": 4.6822e-05,
|
395 |
-
"loss": 0.
|
396 |
"step": 2200
|
397 |
},
|
398 |
{
|
399 |
"epoch": 17.97,
|
400 |
"learning_rate": 4.6223e-05,
|
401 |
-
"loss": 0.
|
402 |
"step": 2300
|
403 |
},
|
404 |
{
|
@@ -407,19 +407,19 @@
|
|
407 |
"eval_accuracy_biofilm": NaN,
|
408 |
"eval_iou_background": 0.0,
|
409 |
"eval_iou_biofilm": 0.0,
|
410 |
-
"eval_loss": 0.
|
411 |
"eval_mean_accuracy": NaN,
|
412 |
"eval_mean_iou": 0.0,
|
413 |
"eval_overall_accuracy": NaN,
|
414 |
-
"eval_runtime": 15.
|
415 |
-
"eval_samples_per_second":
|
416 |
-
"eval_steps_per_second": 2.
|
417 |
"step": 2304
|
418 |
},
|
419 |
{
|
420 |
"epoch": 18.75,
|
421 |
"learning_rate": 4.5624e-05,
|
422 |
-
"loss": 0.
|
423 |
"step": 2400
|
424 |
},
|
425 |
{
|
@@ -428,19 +428,19 @@
|
|
428 |
"eval_accuracy_biofilm": NaN,
|
429 |
"eval_iou_background": 0.0,
|
430 |
"eval_iou_biofilm": 0.0,
|
431 |
-
"eval_loss": 0.
|
432 |
"eval_mean_accuracy": NaN,
|
433 |
"eval_mean_iou": 0.0,
|
434 |
"eval_overall_accuracy": NaN,
|
435 |
-
"eval_runtime":
|
436 |
-
"eval_samples_per_second":
|
437 |
-
"eval_steps_per_second":
|
438 |
"step": 2432
|
439 |
},
|
440 |
{
|
441 |
"epoch": 19.53,
|
442 |
"learning_rate": 4.5025000000000003e-05,
|
443 |
-
"loss": 0.
|
444 |
"step": 2500
|
445 |
},
|
446 |
{
|
@@ -449,19 +449,19 @@
|
|
449 |
"eval_accuracy_biofilm": NaN,
|
450 |
"eval_iou_background": 0.0,
|
451 |
"eval_iou_biofilm": 0.0,
|
452 |
-
"eval_loss": 0.
|
453 |
"eval_mean_accuracy": NaN,
|
454 |
"eval_mean_iou": 0.0,
|
455 |
"eval_overall_accuracy": NaN,
|
456 |
-
"eval_runtime": 15.
|
457 |
-
"eval_samples_per_second":
|
458 |
-
"eval_steps_per_second": 2.
|
459 |
"step": 2560
|
460 |
},
|
461 |
{
|
462 |
"epoch": 20.31,
|
463 |
"learning_rate": 4.4426000000000005e-05,
|
464 |
-
"loss": 0.
|
465 |
"step": 2600
|
466 |
},
|
467 |
{
|
@@ -470,25 +470,25 @@
|
|
470 |
"eval_accuracy_biofilm": NaN,
|
471 |
"eval_iou_background": 0.0,
|
472 |
"eval_iou_biofilm": 0.0,
|
473 |
-
"eval_loss": 0.
|
474 |
"eval_mean_accuracy": NaN,
|
475 |
"eval_mean_iou": 0.0,
|
476 |
"eval_overall_accuracy": NaN,
|
477 |
-
"eval_runtime":
|
478 |
-
"eval_samples_per_second":
|
479 |
-
"eval_steps_per_second":
|
480 |
"step": 2688
|
481 |
},
|
482 |
{
|
483 |
"epoch": 21.09,
|
484 |
"learning_rate": 4.3827e-05,
|
485 |
-
"loss": 0.
|
486 |
"step": 2700
|
487 |
},
|
488 |
{
|
489 |
"epoch": 21.88,
|
490 |
"learning_rate": 4.3228e-05,
|
491 |
-
"loss": 0.
|
492 |
"step": 2800
|
493 |
},
|
494 |
{
|
@@ -497,19 +497,19 @@
|
|
497 |
"eval_accuracy_biofilm": NaN,
|
498 |
"eval_iou_background": 0.0,
|
499 |
"eval_iou_biofilm": 0.0,
|
500 |
-
"eval_loss": 0.
|
501 |
"eval_mean_accuracy": NaN,
|
502 |
"eval_mean_iou": 0.0,
|
503 |
"eval_overall_accuracy": NaN,
|
504 |
-
"eval_runtime":
|
505 |
-
"eval_samples_per_second":
|
506 |
-
"eval_steps_per_second":
|
507 |
"step": 2816
|
508 |
},
|
509 |
{
|
510 |
"epoch": 22.66,
|
511 |
"learning_rate": 4.2629e-05,
|
512 |
-
"loss": 0.
|
513 |
"step": 2900
|
514 |
},
|
515 |
{
|
@@ -518,13 +518,13 @@
|
|
518 |
"eval_accuracy_biofilm": NaN,
|
519 |
"eval_iou_background": 0.0,
|
520 |
"eval_iou_biofilm": 0.0,
|
521 |
-
"eval_loss": 0.
|
522 |
"eval_mean_accuracy": NaN,
|
523 |
"eval_mean_iou": 0.0,
|
524 |
"eval_overall_accuracy": NaN,
|
525 |
-
"eval_runtime": 15.
|
526 |
-
"eval_samples_per_second": 16.
|
527 |
-
"eval_steps_per_second": 2.
|
528 |
"step": 2944
|
529 |
},
|
530 |
{
|
@@ -539,13 +539,13 @@
|
|
539 |
"eval_accuracy_biofilm": NaN,
|
540 |
"eval_iou_background": 0.0,
|
541 |
"eval_iou_biofilm": 0.0,
|
542 |
-
"eval_loss": 0.
|
543 |
"eval_mean_accuracy": NaN,
|
544 |
"eval_mean_iou": 0.0,
|
545 |
"eval_overall_accuracy": NaN,
|
546 |
-
"eval_runtime": 15.
|
547 |
-
"eval_samples_per_second": 16.
|
548 |
-
"eval_steps_per_second": 2.
|
549 |
"step": 3072
|
550 |
},
|
551 |
{
|
@@ -557,7 +557,7 @@
|
|
557 |
{
|
558 |
"epoch": 25.0,
|
559 |
"learning_rate": 4.0832e-05,
|
560 |
-
"loss": 0.
|
561 |
"step": 3200
|
562 |
},
|
563 |
{
|
@@ -566,13 +566,13 @@
|
|
566 |
"eval_accuracy_biofilm": NaN,
|
567 |
"eval_iou_background": 0.0,
|
568 |
"eval_iou_biofilm": 0.0,
|
569 |
-
"eval_loss": 0.
|
570 |
"eval_mean_accuracy": NaN,
|
571 |
"eval_mean_iou": 0.0,
|
572 |
"eval_overall_accuracy": NaN,
|
573 |
-
"eval_runtime": 15.
|
574 |
-
"eval_samples_per_second":
|
575 |
-
"eval_steps_per_second": 2.
|
576 |
"step": 3200
|
577 |
},
|
578 |
{
|
@@ -587,13 +587,13 @@
|
|
587 |
"eval_accuracy_biofilm": NaN,
|
588 |
"eval_iou_background": 0.0,
|
589 |
"eval_iou_biofilm": 0.0,
|
590 |
-
"eval_loss": 0.
|
591 |
"eval_mean_accuracy": NaN,
|
592 |
"eval_mean_iou": 0.0,
|
593 |
"eval_overall_accuracy": NaN,
|
594 |
-
"eval_runtime": 15.
|
595 |
-
"eval_samples_per_second": 16.
|
596 |
-
"eval_steps_per_second": 2.
|
597 |
"step": 3328
|
598 |
},
|
599 |
{
|
@@ -608,19 +608,19 @@
|
|
608 |
"eval_accuracy_biofilm": NaN,
|
609 |
"eval_iou_background": 0.0,
|
610 |
"eval_iou_biofilm": 0.0,
|
611 |
-
"eval_loss": 0.
|
612 |
"eval_mean_accuracy": NaN,
|
613 |
"eval_mean_iou": 0.0,
|
614 |
"eval_overall_accuracy": NaN,
|
615 |
-
"eval_runtime": 15.
|
616 |
-
"eval_samples_per_second":
|
617 |
-
"eval_steps_per_second": 2.
|
618 |
"step": 3456
|
619 |
},
|
620 |
{
|
621 |
"epoch": 27.34,
|
622 |
"learning_rate": 3.9035e-05,
|
623 |
-
"loss": 0.
|
624 |
"step": 3500
|
625 |
},
|
626 |
{
|
@@ -629,13 +629,13 @@
|
|
629 |
"eval_accuracy_biofilm": NaN,
|
630 |
"eval_iou_background": 0.0,
|
631 |
"eval_iou_biofilm": 0.0,
|
632 |
-
"eval_loss": 0.
|
633 |
"eval_mean_accuracy": NaN,
|
634 |
"eval_mean_iou": 0.0,
|
635 |
"eval_overall_accuracy": NaN,
|
636 |
-
"eval_runtime":
|
637 |
-
"eval_samples_per_second":
|
638 |
-
"eval_steps_per_second":
|
639 |
"step": 3584
|
640 |
},
|
641 |
{
|
@@ -647,7 +647,7 @@
|
|
647 |
{
|
648 |
"epoch": 28.91,
|
649 |
"learning_rate": 3.7837000000000004e-05,
|
650 |
-
"loss": 0.
|
651 |
"step": 3700
|
652 |
},
|
653 |
{
|
@@ -656,19 +656,19 @@
|
|
656 |
"eval_accuracy_biofilm": NaN,
|
657 |
"eval_iou_background": 0.0,
|
658 |
"eval_iou_biofilm": 0.0,
|
659 |
-
"eval_loss": 0.
|
660 |
"eval_mean_accuracy": NaN,
|
661 |
"eval_mean_iou": 0.0,
|
662 |
"eval_overall_accuracy": NaN,
|
663 |
-
"eval_runtime":
|
664 |
-
"eval_samples_per_second":
|
665 |
-
"eval_steps_per_second":
|
666 |
"step": 3712
|
667 |
},
|
668 |
{
|
669 |
"epoch": 29.69,
|
670 |
"learning_rate": 3.7238000000000005e-05,
|
671 |
-
"loss": 0.
|
672 |
"step": 3800
|
673 |
},
|
674 |
{
|
@@ -677,13 +677,13 @@
|
|
677 |
"eval_accuracy_biofilm": NaN,
|
678 |
"eval_iou_background": 0.0,
|
679 |
"eval_iou_biofilm": 0.0,
|
680 |
-
"eval_loss": 0.
|
681 |
"eval_mean_accuracy": NaN,
|
682 |
"eval_mean_iou": 0.0,
|
683 |
"eval_overall_accuracy": NaN,
|
684 |
-
"eval_runtime": 15.
|
685 |
-
"eval_samples_per_second": 16.
|
686 |
-
"eval_steps_per_second": 2.
|
687 |
"step": 3840
|
688 |
},
|
689 |
{
|
@@ -698,13 +698,13 @@
|
|
698 |
"eval_accuracy_biofilm": NaN,
|
699 |
"eval_iou_background": 0.0,
|
700 |
"eval_iou_biofilm": 0.0,
|
701 |
-
"eval_loss": 0.
|
702 |
"eval_mean_accuracy": NaN,
|
703 |
"eval_mean_iou": 0.0,
|
704 |
"eval_overall_accuracy": NaN,
|
705 |
-
"eval_runtime":
|
706 |
-
"eval_samples_per_second":
|
707 |
-
"eval_steps_per_second":
|
708 |
"step": 3968
|
709 |
},
|
710 |
{
|
@@ -719,13 +719,13 @@
|
|
719 |
"eval_accuracy_biofilm": NaN,
|
720 |
"eval_iou_background": 0.0,
|
721 |
"eval_iou_biofilm": 0.0,
|
722 |
-
"eval_loss": 0.
|
723 |
"eval_mean_accuracy": NaN,
|
724 |
"eval_mean_iou": 0.0,
|
725 |
"eval_overall_accuracy": NaN,
|
726 |
-
"eval_runtime":
|
727 |
-
"eval_samples_per_second":
|
728 |
-
"eval_steps_per_second":
|
729 |
"step": 4096
|
730 |
},
|
731 |
{
|
@@ -746,13 +746,13 @@
|
|
746 |
"eval_accuracy_biofilm": NaN,
|
747 |
"eval_iou_background": 0.0,
|
748 |
"eval_iou_biofilm": 0.0,
|
749 |
-
"eval_loss": 0.
|
750 |
"eval_mean_accuracy": NaN,
|
751 |
"eval_mean_iou": 0.0,
|
752 |
"eval_overall_accuracy": NaN,
|
753 |
-
"eval_runtime":
|
754 |
-
"eval_samples_per_second":
|
755 |
-
"eval_steps_per_second":
|
756 |
"step": 4224
|
757 |
},
|
758 |
{
|
@@ -767,13 +767,13 @@
|
|
767 |
"eval_accuracy_biofilm": NaN,
|
768 |
"eval_iou_background": 0.0,
|
769 |
"eval_iou_biofilm": 0.0,
|
770 |
-
"eval_loss": 0.
|
771 |
"eval_mean_accuracy": NaN,
|
772 |
"eval_mean_iou": 0.0,
|
773 |
"eval_overall_accuracy": NaN,
|
774 |
-
"eval_runtime":
|
775 |
-
"eval_samples_per_second":
|
776 |
-
"eval_steps_per_second":
|
777 |
"step": 4352
|
778 |
},
|
779 |
{
|
@@ -788,19 +788,19 @@
|
|
788 |
"eval_accuracy_biofilm": NaN,
|
789 |
"eval_iou_background": 0.0,
|
790 |
"eval_iou_biofilm": 0.0,
|
791 |
-
"eval_loss": 0.
|
792 |
"eval_mean_accuracy": NaN,
|
793 |
"eval_mean_iou": 0.0,
|
794 |
"eval_overall_accuracy": NaN,
|
795 |
-
"eval_runtime":
|
796 |
-
"eval_samples_per_second":
|
797 |
-
"eval_steps_per_second":
|
798 |
"step": 4480
|
799 |
},
|
800 |
{
|
801 |
"epoch": 35.16,
|
802 |
"learning_rate": 3.3045000000000006e-05,
|
803 |
-
"loss": 0.
|
804 |
"step": 4500
|
805 |
},
|
806 |
{
|
@@ -815,13 +815,13 @@
|
|
815 |
"eval_accuracy_biofilm": NaN,
|
816 |
"eval_iou_background": 0.0,
|
817 |
"eval_iou_biofilm": 0.0,
|
818 |
-
"eval_loss": 0.
|
819 |
"eval_mean_accuracy": NaN,
|
820 |
"eval_mean_iou": 0.0,
|
821 |
"eval_overall_accuracy": NaN,
|
822 |
-
"eval_runtime":
|
823 |
-
"eval_samples_per_second":
|
824 |
-
"eval_steps_per_second":
|
825 |
"step": 4608
|
826 |
},
|
827 |
{
|
@@ -836,13 +836,13 @@
|
|
836 |
"eval_accuracy_biofilm": NaN,
|
837 |
"eval_iou_background": 0.0,
|
838 |
"eval_iou_biofilm": 0.0,
|
839 |
-
"eval_loss": 0.
|
840 |
"eval_mean_accuracy": NaN,
|
841 |
"eval_mean_iou": 0.0,
|
842 |
"eval_overall_accuracy": NaN,
|
843 |
-
"eval_runtime":
|
844 |
-
"eval_samples_per_second":
|
845 |
-
"eval_steps_per_second":
|
846 |
"step": 4736
|
847 |
},
|
848 |
{
|
@@ -857,13 +857,13 @@
|
|
857 |
"eval_accuracy_biofilm": NaN,
|
858 |
"eval_iou_background": 0.0,
|
859 |
"eval_iou_biofilm": 0.0,
|
860 |
-
"eval_loss": 0.
|
861 |
"eval_mean_accuracy": NaN,
|
862 |
"eval_mean_iou": 0.0,
|
863 |
"eval_overall_accuracy": NaN,
|
864 |
-
"eval_runtime":
|
865 |
-
"eval_samples_per_second":
|
866 |
-
"eval_steps_per_second":
|
867 |
"step": 4864
|
868 |
},
|
869 |
{
|
@@ -878,13 +878,13 @@
|
|
878 |
"eval_accuracy_biofilm": NaN,
|
879 |
"eval_iou_background": 0.0,
|
880 |
"eval_iou_biofilm": 0.0,
|
881 |
-
"eval_loss":
|
882 |
"eval_mean_accuracy": NaN,
|
883 |
"eval_mean_iou": 0.0,
|
884 |
"eval_overall_accuracy": NaN,
|
885 |
-
"eval_runtime": 15.
|
886 |
-
"eval_samples_per_second":
|
887 |
-
"eval_steps_per_second": 2.
|
888 |
"step": 4992
|
889 |
},
|
890 |
{
|
@@ -905,13 +905,13 @@
|
|
905 |
"eval_accuracy_biofilm": NaN,
|
906 |
"eval_iou_background": 0.0,
|
907 |
"eval_iou_biofilm": 0.0,
|
908 |
-
"eval_loss":
|
909 |
"eval_mean_accuracy": NaN,
|
910 |
"eval_mean_iou": 0.0,
|
911 |
"eval_overall_accuracy": NaN,
|
912 |
-
"eval_runtime": 15.
|
913 |
-
"eval_samples_per_second":
|
914 |
-
"eval_steps_per_second": 2.
|
915 |
"step": 5120
|
916 |
},
|
917 |
{
|
@@ -926,19 +926,19 @@
|
|
926 |
"eval_accuracy_biofilm": NaN,
|
927 |
"eval_iou_background": 0.0,
|
928 |
"eval_iou_biofilm": 0.0,
|
929 |
-
"eval_loss":
|
930 |
"eval_mean_accuracy": NaN,
|
931 |
"eval_mean_iou": 0.0,
|
932 |
"eval_overall_accuracy": NaN,
|
933 |
-
"eval_runtime": 15.
|
934 |
-
"eval_samples_per_second": 16.
|
935 |
-
"eval_steps_per_second": 2.
|
936 |
"step": 5248
|
937 |
},
|
938 |
{
|
939 |
"epoch": 41.41,
|
940 |
"learning_rate": 2.8253e-05,
|
941 |
-
"loss": 0.
|
942 |
"step": 5300
|
943 |
},
|
944 |
{
|
@@ -947,13 +947,13 @@
|
|
947 |
"eval_accuracy_biofilm": NaN,
|
948 |
"eval_iou_background": 0.0,
|
949 |
"eval_iou_biofilm": 0.0,
|
950 |
-
"eval_loss":
|
951 |
"eval_mean_accuracy": NaN,
|
952 |
"eval_mean_iou": 0.0,
|
953 |
"eval_overall_accuracy": NaN,
|
954 |
-
"eval_runtime":
|
955 |
-
"eval_samples_per_second":
|
956 |
-
"eval_steps_per_second":
|
957 |
"step": 5376
|
958 |
},
|
959 |
{
|
@@ -974,13 +974,13 @@
|
|
974 |
"eval_accuracy_biofilm": NaN,
|
975 |
"eval_iou_background": 0.0,
|
976 |
"eval_iou_biofilm": 0.0,
|
977 |
-
"eval_loss":
|
978 |
"eval_mean_accuracy": NaN,
|
979 |
"eval_mean_iou": 0.0,
|
980 |
"eval_overall_accuracy": NaN,
|
981 |
-
"eval_runtime":
|
982 |
-
"eval_samples_per_second":
|
983 |
-
"eval_steps_per_second":
|
984 |
"step": 5504
|
985 |
},
|
986 |
{
|
@@ -995,13 +995,13 @@
|
|
995 |
"eval_accuracy_biofilm": NaN,
|
996 |
"eval_iou_background": 0.0,
|
997 |
"eval_iou_biofilm": 0.0,
|
998 |
-
"eval_loss":
|
999 |
"eval_mean_accuracy": NaN,
|
1000 |
"eval_mean_iou": 0.0,
|
1001 |
"eval_overall_accuracy": NaN,
|
1002 |
-
"eval_runtime":
|
1003 |
-
"eval_samples_per_second":
|
1004 |
-
"eval_steps_per_second":
|
1005 |
"step": 5632
|
1006 |
},
|
1007 |
{
|
@@ -1016,13 +1016,13 @@
|
|
1016 |
"eval_accuracy_biofilm": NaN,
|
1017 |
"eval_iou_background": 0.0,
|
1018 |
"eval_iou_biofilm": 0.0,
|
1019 |
-
"eval_loss":
|
1020 |
"eval_mean_accuracy": NaN,
|
1021 |
"eval_mean_iou": 0.0,
|
1022 |
"eval_overall_accuracy": NaN,
|
1023 |
-
"eval_runtime": 15.
|
1024 |
-
"eval_samples_per_second":
|
1025 |
-
"eval_steps_per_second": 2.
|
1026 |
"step": 5760
|
1027 |
},
|
1028 |
{
|
@@ -1037,13 +1037,13 @@
|
|
1037 |
"eval_accuracy_biofilm": NaN,
|
1038 |
"eval_iou_background": 0.0,
|
1039 |
"eval_iou_biofilm": 0.0,
|
1040 |
-
"eval_loss":
|
1041 |
"eval_mean_accuracy": NaN,
|
1042 |
"eval_mean_iou": 0.0,
|
1043 |
"eval_overall_accuracy": NaN,
|
1044 |
-
"eval_runtime": 15.
|
1045 |
-
"eval_samples_per_second":
|
1046 |
-
"eval_steps_per_second": 2.
|
1047 |
"step": 5888
|
1048 |
},
|
1049 |
{
|
@@ -1064,13 +1064,13 @@
|
|
1064 |
"eval_accuracy_biofilm": NaN,
|
1065 |
"eval_iou_background": 0.0,
|
1066 |
"eval_iou_biofilm": 0.0,
|
1067 |
-
"eval_loss":
|
1068 |
"eval_mean_accuracy": NaN,
|
1069 |
"eval_mean_iou": 0.0,
|
1070 |
"eval_overall_accuracy": NaN,
|
1071 |
-
"eval_runtime":
|
1072 |
-
"eval_samples_per_second":
|
1073 |
-
"eval_steps_per_second":
|
1074 |
"step": 6016
|
1075 |
},
|
1076 |
{
|
@@ -1085,13 +1085,13 @@
|
|
1085 |
"eval_accuracy_biofilm": NaN,
|
1086 |
"eval_iou_background": 0.0,
|
1087 |
"eval_iou_biofilm": 0.0,
|
1088 |
-
"eval_loss":
|
1089 |
"eval_mean_accuracy": NaN,
|
1090 |
"eval_mean_iou": 0.0,
|
1091 |
"eval_overall_accuracy": NaN,
|
1092 |
-
"eval_runtime":
|
1093 |
-
"eval_samples_per_second":
|
1094 |
-
"eval_steps_per_second":
|
1095 |
"step": 6144
|
1096 |
},
|
1097 |
{
|
@@ -1106,13 +1106,13 @@
|
|
1106 |
"eval_accuracy_biofilm": NaN,
|
1107 |
"eval_iou_background": 0.0,
|
1108 |
"eval_iou_biofilm": 0.0,
|
1109 |
-
"eval_loss":
|
1110 |
"eval_mean_accuracy": NaN,
|
1111 |
"eval_mean_iou": 0.0,
|
1112 |
"eval_overall_accuracy": NaN,
|
1113 |
-
"eval_runtime":
|
1114 |
-
"eval_samples_per_second":
|
1115 |
-
"eval_steps_per_second":
|
1116 |
"step": 6272
|
1117 |
},
|
1118 |
{
|
@@ -1133,13 +1133,13 @@
|
|
1133 |
"eval_accuracy_biofilm": NaN,
|
1134 |
"eval_iou_background": 0.0,
|
1135 |
"eval_iou_biofilm": 0.0,
|
1136 |
-
"eval_loss":
|
1137 |
"eval_mean_accuracy": NaN,
|
1138 |
"eval_mean_iou": 0.0,
|
1139 |
"eval_overall_accuracy": NaN,
|
1140 |
-
"eval_runtime":
|
1141 |
-
"eval_samples_per_second":
|
1142 |
-
"eval_steps_per_second":
|
1143 |
"step": 6400
|
1144 |
},
|
1145 |
{
|
@@ -1154,13 +1154,13 @@
|
|
1154 |
"eval_accuracy_biofilm": NaN,
|
1155 |
"eval_iou_background": 0.0,
|
1156 |
"eval_iou_biofilm": 0.0,
|
1157 |
-
"eval_loss":
|
1158 |
"eval_mean_accuracy": NaN,
|
1159 |
"eval_mean_iou": 0.0,
|
1160 |
"eval_overall_accuracy": NaN,
|
1161 |
-
"eval_runtime": 15.
|
1162 |
-
"eval_samples_per_second": 16.
|
1163 |
-
"eval_steps_per_second": 2.
|
1164 |
"step": 6528
|
1165 |
},
|
1166 |
{
|
@@ -1175,13 +1175,13 @@
|
|
1175 |
"eval_accuracy_biofilm": NaN,
|
1176 |
"eval_iou_background": 0.0,
|
1177 |
"eval_iou_biofilm": 0.0,
|
1178 |
-
"eval_loss":
|
1179 |
"eval_mean_accuracy": NaN,
|
1180 |
"eval_mean_iou": 0.0,
|
1181 |
"eval_overall_accuracy": NaN,
|
1182 |
-
"eval_runtime": 15.
|
1183 |
-
"eval_samples_per_second": 16.
|
1184 |
-
"eval_steps_per_second": 2.
|
1185 |
"step": 6656
|
1186 |
},
|
1187 |
{
|
@@ -1196,13 +1196,13 @@
|
|
1196 |
"eval_accuracy_biofilm": NaN,
|
1197 |
"eval_iou_background": 0.0,
|
1198 |
"eval_iou_biofilm": 0.0,
|
1199 |
-
"eval_loss": 3.
|
1200 |
"eval_mean_accuracy": NaN,
|
1201 |
"eval_mean_iou": 0.0,
|
1202 |
"eval_overall_accuracy": NaN,
|
1203 |
-
"eval_runtime":
|
1204 |
-
"eval_samples_per_second":
|
1205 |
-
"eval_steps_per_second":
|
1206 |
"step": 6784
|
1207 |
},
|
1208 |
{
|
@@ -1223,13 +1223,13 @@
|
|
1223 |
"eval_accuracy_biofilm": NaN,
|
1224 |
"eval_iou_background": 0.0,
|
1225 |
"eval_iou_biofilm": 0.0,
|
1226 |
-
"eval_loss":
|
1227 |
"eval_mean_accuracy": NaN,
|
1228 |
"eval_mean_iou": 0.0,
|
1229 |
"eval_overall_accuracy": NaN,
|
1230 |
-
"eval_runtime": 15.
|
1231 |
-
"eval_samples_per_second":
|
1232 |
-
"eval_steps_per_second": 2.
|
1233 |
"step": 6912
|
1234 |
},
|
1235 |
{
|
@@ -1244,13 +1244,13 @@
|
|
1244 |
"eval_accuracy_biofilm": NaN,
|
1245 |
"eval_iou_background": 0.0,
|
1246 |
"eval_iou_biofilm": 0.0,
|
1247 |
-
"eval_loss":
|
1248 |
"eval_mean_accuracy": NaN,
|
1249 |
"eval_mean_iou": 0.0,
|
1250 |
"eval_overall_accuracy": NaN,
|
1251 |
-
"eval_runtime": 15.
|
1252 |
-
"eval_samples_per_second": 16.
|
1253 |
-
"eval_steps_per_second": 2.
|
1254 |
"step": 7040
|
1255 |
},
|
1256 |
{
|
@@ -1265,13 +1265,13 @@
|
|
1265 |
"eval_accuracy_biofilm": NaN,
|
1266 |
"eval_iou_background": 0.0,
|
1267 |
"eval_iou_biofilm": 0.0,
|
1268 |
-
"eval_loss": 5.
|
1269 |
"eval_mean_accuracy": NaN,
|
1270 |
"eval_mean_iou": 0.0,
|
1271 |
"eval_overall_accuracy": NaN,
|
1272 |
-
"eval_runtime": 16.
|
1273 |
-
"eval_samples_per_second": 15.
|
1274 |
-
"eval_steps_per_second": 1.
|
1275 |
"step": 7168
|
1276 |
},
|
1277 |
{
|
@@ -1286,13 +1286,13 @@
|
|
1286 |
"eval_accuracy_biofilm": NaN,
|
1287 |
"eval_iou_background": 0.0,
|
1288 |
"eval_iou_biofilm": 0.0,
|
1289 |
-
"eval_loss": 3.
|
1290 |
"eval_mean_accuracy": NaN,
|
1291 |
"eval_mean_iou": 0.0,
|
1292 |
"eval_overall_accuracy": NaN,
|
1293 |
-
"eval_runtime":
|
1294 |
-
"eval_samples_per_second":
|
1295 |
-
"eval_steps_per_second":
|
1296 |
"step": 7296
|
1297 |
},
|
1298 |
{
|
@@ -1313,13 +1313,13 @@
|
|
1313 |
"eval_accuracy_biofilm": NaN,
|
1314 |
"eval_iou_background": 0.0,
|
1315 |
"eval_iou_biofilm": 0.0,
|
1316 |
-
"eval_loss":
|
1317 |
"eval_mean_accuracy": NaN,
|
1318 |
"eval_mean_iou": 0.0,
|
1319 |
"eval_overall_accuracy": NaN,
|
1320 |
-
"eval_runtime":
|
1321 |
-
"eval_samples_per_second":
|
1322 |
-
"eval_steps_per_second":
|
1323 |
"step": 7424
|
1324 |
},
|
1325 |
{
|
@@ -1334,13 +1334,13 @@
|
|
1334 |
"eval_accuracy_biofilm": NaN,
|
1335 |
"eval_iou_background": 0.0,
|
1336 |
"eval_iou_biofilm": 0.0,
|
1337 |
-
"eval_loss":
|
1338 |
"eval_mean_accuracy": NaN,
|
1339 |
"eval_mean_iou": 0.0,
|
1340 |
"eval_overall_accuracy": NaN,
|
1341 |
-
"eval_runtime": 15.
|
1342 |
-
"eval_samples_per_second": 16.
|
1343 |
-
"eval_steps_per_second": 2.
|
1344 |
"step": 7552
|
1345 |
},
|
1346 |
{
|
@@ -1355,13 +1355,13 @@
|
|
1355 |
"eval_accuracy_biofilm": NaN,
|
1356 |
"eval_iou_background": 0.0,
|
1357 |
"eval_iou_biofilm": 0.0,
|
1358 |
-
"eval_loss":
|
1359 |
"eval_mean_accuracy": NaN,
|
1360 |
"eval_mean_iou": 0.0,
|
1361 |
"eval_overall_accuracy": NaN,
|
1362 |
-
"eval_runtime": 16.
|
1363 |
-
"eval_samples_per_second": 15.
|
1364 |
-
"eval_steps_per_second": 1.
|
1365 |
"step": 7680
|
1366 |
},
|
1367 |
{
|
@@ -1382,13 +1382,13 @@
|
|
1382 |
"eval_accuracy_biofilm": NaN,
|
1383 |
"eval_iou_background": 0.0,
|
1384 |
"eval_iou_biofilm": 0.0,
|
1385 |
-
"eval_loss":
|
1386 |
"eval_mean_accuracy": NaN,
|
1387 |
"eval_mean_iou": 0.0,
|
1388 |
"eval_overall_accuracy": NaN,
|
1389 |
-
"eval_runtime":
|
1390 |
-
"eval_samples_per_second":
|
1391 |
-
"eval_steps_per_second":
|
1392 |
"step": 7808
|
1393 |
},
|
1394 |
{
|
@@ -1403,19 +1403,19 @@
|
|
1403 |
"eval_accuracy_biofilm": NaN,
|
1404 |
"eval_iou_background": 0.0,
|
1405 |
"eval_iou_biofilm": 0.0,
|
1406 |
-
"eval_loss": 0.
|
1407 |
"eval_mean_accuracy": NaN,
|
1408 |
"eval_mean_iou": 0.0,
|
1409 |
"eval_overall_accuracy": NaN,
|
1410 |
-
"eval_runtime":
|
1411 |
-
"eval_samples_per_second":
|
1412 |
-
"eval_steps_per_second":
|
1413 |
"step": 7936
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 62.5,
|
1417 |
"learning_rate": 1.2079999999999998e-05,
|
1418 |
-
"loss": 0.
|
1419 |
"step": 8000
|
1420 |
},
|
1421 |
{
|
@@ -1424,19 +1424,19 @@
|
|
1424 |
"eval_accuracy_biofilm": NaN,
|
1425 |
"eval_iou_background": 0.0,
|
1426 |
"eval_iou_biofilm": 0.0,
|
1427 |
-
"eval_loss":
|
1428 |
"eval_mean_accuracy": NaN,
|
1429 |
"eval_mean_iou": 0.0,
|
1430 |
"eval_overall_accuracy": NaN,
|
1431 |
-
"eval_runtime":
|
1432 |
-
"eval_samples_per_second":
|
1433 |
-
"eval_steps_per_second":
|
1434 |
"step": 8064
|
1435 |
},
|
1436 |
{
|
1437 |
"epoch": 63.28,
|
1438 |
"learning_rate": 1.1480999999999997e-05,
|
1439 |
-
"loss": 0.
|
1440 |
"step": 8100
|
1441 |
},
|
1442 |
{
|
@@ -1445,19 +1445,19 @@
|
|
1445 |
"eval_accuracy_biofilm": NaN,
|
1446 |
"eval_iou_background": 0.0,
|
1447 |
"eval_iou_biofilm": 0.0,
|
1448 |
-
"eval_loss": 4.
|
1449 |
"eval_mean_accuracy": NaN,
|
1450 |
"eval_mean_iou": 0.0,
|
1451 |
"eval_overall_accuracy": NaN,
|
1452 |
-
"eval_runtime":
|
1453 |
-
"eval_samples_per_second":
|
1454 |
-
"eval_steps_per_second":
|
1455 |
"step": 8192
|
1456 |
},
|
1457 |
{
|
1458 |
"epoch": 64.06,
|
1459 |
"learning_rate": 1.0882000000000004e-05,
|
1460 |
-
"loss": 0.
|
1461 |
"step": 8200
|
1462 |
},
|
1463 |
{
|
@@ -1472,19 +1472,19 @@
|
|
1472 |
"eval_accuracy_biofilm": NaN,
|
1473 |
"eval_iou_background": 0.0,
|
1474 |
"eval_iou_biofilm": 0.0,
|
1475 |
-
"eval_loss":
|
1476 |
"eval_mean_accuracy": NaN,
|
1477 |
"eval_mean_iou": 0.0,
|
1478 |
"eval_overall_accuracy": NaN,
|
1479 |
-
"eval_runtime":
|
1480 |
-
"eval_samples_per_second":
|
1481 |
-
"eval_steps_per_second":
|
1482 |
"step": 8320
|
1483 |
},
|
1484 |
{
|
1485 |
"epoch": 65.62,
|
1486 |
"learning_rate": 9.684000000000002e-06,
|
1487 |
-
"loss": 0.
|
1488 |
"step": 8400
|
1489 |
},
|
1490 |
{
|
@@ -1493,19 +1493,19 @@
|
|
1493 |
"eval_accuracy_biofilm": NaN,
|
1494 |
"eval_iou_background": 0.0,
|
1495 |
"eval_iou_biofilm": 0.0,
|
1496 |
-
"eval_loss":
|
1497 |
"eval_mean_accuracy": NaN,
|
1498 |
"eval_mean_iou": 0.0,
|
1499 |
"eval_overall_accuracy": NaN,
|
1500 |
-
"eval_runtime":
|
1501 |
-
"eval_samples_per_second":
|
1502 |
-
"eval_steps_per_second":
|
1503 |
"step": 8448
|
1504 |
},
|
1505 |
{
|
1506 |
"epoch": 66.41,
|
1507 |
"learning_rate": 9.085000000000002e-06,
|
1508 |
-
"loss": 0.
|
1509 |
"step": 8500
|
1510 |
},
|
1511 |
{
|
@@ -1514,25 +1514,25 @@
|
|
1514 |
"eval_accuracy_biofilm": NaN,
|
1515 |
"eval_iou_background": 0.0,
|
1516 |
"eval_iou_biofilm": 0.0,
|
1517 |
-
"eval_loss":
|
1518 |
"eval_mean_accuracy": NaN,
|
1519 |
"eval_mean_iou": 0.0,
|
1520 |
"eval_overall_accuracy": NaN,
|
1521 |
-
"eval_runtime":
|
1522 |
-
"eval_samples_per_second":
|
1523 |
-
"eval_steps_per_second":
|
1524 |
"step": 8576
|
1525 |
},
|
1526 |
{
|
1527 |
"epoch": 67.19,
|
1528 |
"learning_rate": 8.486000000000001e-06,
|
1529 |
-
"loss": 0.
|
1530 |
"step": 8600
|
1531 |
},
|
1532 |
{
|
1533 |
"epoch": 67.97,
|
1534 |
"learning_rate": 7.887000000000001e-06,
|
1535 |
-
"loss": 0.
|
1536 |
"step": 8700
|
1537 |
},
|
1538 |
{
|
@@ -1541,19 +1541,19 @@
|
|
1541 |
"eval_accuracy_biofilm": NaN,
|
1542 |
"eval_iou_background": 0.0,
|
1543 |
"eval_iou_biofilm": 0.0,
|
1544 |
-
"eval_loss":
|
1545 |
"eval_mean_accuracy": NaN,
|
1546 |
"eval_mean_iou": 0.0,
|
1547 |
"eval_overall_accuracy": NaN,
|
1548 |
-
"eval_runtime":
|
1549 |
-
"eval_samples_per_second":
|
1550 |
-
"eval_steps_per_second":
|
1551 |
"step": 8704
|
1552 |
},
|
1553 |
{
|
1554 |
"epoch": 68.75,
|
1555 |
"learning_rate": 7.2879999999999995e-06,
|
1556 |
-
"loss": 0.
|
1557 |
"step": 8800
|
1558 |
},
|
1559 |
{
|
@@ -1562,19 +1562,19 @@
|
|
1562 |
"eval_accuracy_biofilm": NaN,
|
1563 |
"eval_iou_background": 0.0,
|
1564 |
"eval_iou_biofilm": 0.0,
|
1565 |
-
"eval_loss":
|
1566 |
"eval_mean_accuracy": NaN,
|
1567 |
"eval_mean_iou": 0.0,
|
1568 |
"eval_overall_accuracy": NaN,
|
1569 |
-
"eval_runtime":
|
1570 |
-
"eval_samples_per_second":
|
1571 |
-
"eval_steps_per_second":
|
1572 |
"step": 8832
|
1573 |
},
|
1574 |
{
|
1575 |
"epoch": 69.53,
|
1576 |
"learning_rate": 6.688999999999999e-06,
|
1577 |
-
"loss": 0.
|
1578 |
"step": 8900
|
1579 |
},
|
1580 |
{
|
@@ -1583,13 +1583,13 @@
|
|
1583 |
"eval_accuracy_biofilm": NaN,
|
1584 |
"eval_iou_background": 0.0,
|
1585 |
"eval_iou_biofilm": 0.0,
|
1586 |
-
"eval_loss":
|
1587 |
"eval_mean_accuracy": NaN,
|
1588 |
"eval_mean_iou": 0.0,
|
1589 |
"eval_overall_accuracy": NaN,
|
1590 |
-
"eval_runtime":
|
1591 |
-
"eval_samples_per_second":
|
1592 |
-
"eval_steps_per_second":
|
1593 |
"step": 8960
|
1594 |
},
|
1595 |
{
|
@@ -1604,19 +1604,19 @@
|
|
1604 |
"eval_accuracy_biofilm": NaN,
|
1605 |
"eval_iou_background": 0.0,
|
1606 |
"eval_iou_biofilm": 0.0,
|
1607 |
-
"eval_loss":
|
1608 |
"eval_mean_accuracy": NaN,
|
1609 |
"eval_mean_iou": 0.0,
|
1610 |
"eval_overall_accuracy": NaN,
|
1611 |
-
"eval_runtime":
|
1612 |
-
"eval_samples_per_second":
|
1613 |
-
"eval_steps_per_second":
|
1614 |
"step": 9088
|
1615 |
},
|
1616 |
{
|
1617 |
"epoch": 71.09,
|
1618 |
"learning_rate": 5.490999999999998e-06,
|
1619 |
-
"loss": 0.
|
1620 |
"step": 9100
|
1621 |
},
|
1622 |
{
|
@@ -1631,13 +1631,13 @@
|
|
1631 |
"eval_accuracy_biofilm": NaN,
|
1632 |
"eval_iou_background": 0.0,
|
1633 |
"eval_iou_biofilm": 0.0,
|
1634 |
-
"eval_loss":
|
1635 |
"eval_mean_accuracy": NaN,
|
1636 |
"eval_mean_iou": 0.0,
|
1637 |
"eval_overall_accuracy": NaN,
|
1638 |
-
"eval_runtime":
|
1639 |
-
"eval_samples_per_second":
|
1640 |
-
"eval_steps_per_second":
|
1641 |
"step": 9216
|
1642 |
},
|
1643 |
{
|
@@ -1652,19 +1652,19 @@
|
|
1652 |
"eval_accuracy_biofilm": NaN,
|
1653 |
"eval_iou_background": 0.0,
|
1654 |
"eval_iou_biofilm": 0.0,
|
1655 |
-
"eval_loss":
|
1656 |
"eval_mean_accuracy": NaN,
|
1657 |
"eval_mean_iou": 0.0,
|
1658 |
"eval_overall_accuracy": NaN,
|
1659 |
-
"eval_runtime":
|
1660 |
-
"eval_samples_per_second":
|
1661 |
-
"eval_steps_per_second":
|
1662 |
"step": 9344
|
1663 |
},
|
1664 |
{
|
1665 |
"epoch": 73.44,
|
1666 |
"learning_rate": 3.694000000000003e-06,
|
1667 |
-
"loss": 0.
|
1668 |
"step": 9400
|
1669 |
},
|
1670 |
{
|
@@ -1673,19 +1673,19 @@
|
|
1673 |
"eval_accuracy_biofilm": NaN,
|
1674 |
"eval_iou_background": 0.0,
|
1675 |
"eval_iou_biofilm": 0.0,
|
1676 |
-
"eval_loss":
|
1677 |
"eval_mean_accuracy": NaN,
|
1678 |
"eval_mean_iou": 0.0,
|
1679 |
"eval_overall_accuracy": NaN,
|
1680 |
-
"eval_runtime":
|
1681 |
-
"eval_samples_per_second":
|
1682 |
-
"eval_steps_per_second":
|
1683 |
"step": 9472
|
1684 |
},
|
1685 |
{
|
1686 |
"epoch": 74.22,
|
1687 |
"learning_rate": 3.0950000000000026e-06,
|
1688 |
-
"loss": 0.
|
1689 |
"step": 9500
|
1690 |
},
|
1691 |
{
|
@@ -1700,19 +1700,19 @@
|
|
1700 |
"eval_accuracy_biofilm": NaN,
|
1701 |
"eval_iou_background": 0.0,
|
1702 |
"eval_iou_biofilm": 0.0,
|
1703 |
-
"eval_loss":
|
1704 |
"eval_mean_accuracy": NaN,
|
1705 |
"eval_mean_iou": 0.0,
|
1706 |
"eval_overall_accuracy": NaN,
|
1707 |
-
"eval_runtime":
|
1708 |
-
"eval_samples_per_second":
|
1709 |
-
"eval_steps_per_second":
|
1710 |
"step": 9600
|
1711 |
},
|
1712 |
{
|
1713 |
"epoch": 75.78,
|
1714 |
"learning_rate": 1.8970000000000013e-06,
|
1715 |
-
"loss": 0.
|
1716 |
"step": 9700
|
1717 |
},
|
1718 |
{
|
@@ -1721,19 +1721,19 @@
|
|
1721 |
"eval_accuracy_biofilm": NaN,
|
1722 |
"eval_iou_background": 0.0,
|
1723 |
"eval_iou_biofilm": 0.0,
|
1724 |
-
"eval_loss":
|
1725 |
"eval_mean_accuracy": NaN,
|
1726 |
"eval_mean_iou": 0.0,
|
1727 |
"eval_overall_accuracy": NaN,
|
1728 |
-
"eval_runtime":
|
1729 |
-
"eval_samples_per_second":
|
1730 |
-
"eval_steps_per_second":
|
1731 |
"step": 9728
|
1732 |
},
|
1733 |
{
|
1734 |
"epoch": 76.56,
|
1735 |
"learning_rate": 1.298000000000001e-06,
|
1736 |
-
"loss": 0.
|
1737 |
"step": 9800
|
1738 |
},
|
1739 |
{
|
@@ -1742,13 +1742,13 @@
|
|
1742 |
"eval_accuracy_biofilm": NaN,
|
1743 |
"eval_iou_background": 0.0,
|
1744 |
"eval_iou_biofilm": 0.0,
|
1745 |
-
"eval_loss":
|
1746 |
"eval_mean_accuracy": NaN,
|
1747 |
"eval_mean_iou": 0.0,
|
1748 |
"eval_overall_accuracy": NaN,
|
1749 |
-
"eval_runtime":
|
1750 |
-
"eval_samples_per_second":
|
1751 |
-
"eval_steps_per_second":
|
1752 |
"step": 9856
|
1753 |
},
|
1754 |
{
|
@@ -1763,19 +1763,19 @@
|
|
1763 |
"eval_accuracy_biofilm": NaN,
|
1764 |
"eval_iou_background": 0.0,
|
1765 |
"eval_iou_biofilm": 0.0,
|
1766 |
-
"eval_loss":
|
1767 |
"eval_mean_accuracy": NaN,
|
1768 |
"eval_mean_iou": 0.0,
|
1769 |
"eval_overall_accuracy": NaN,
|
1770 |
-
"eval_runtime":
|
1771 |
-
"eval_samples_per_second":
|
1772 |
-
"eval_steps_per_second":
|
1773 |
"step": 9984
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 78.12,
|
1777 |
"learning_rate": 1e-07,
|
1778 |
-
"loss": 0.
|
1779 |
"step": 10000
|
1780 |
},
|
1781 |
{
|
@@ -1784,23 +1784,23 @@
|
|
1784 |
"eval_accuracy_biofilm": NaN,
|
1785 |
"eval_iou_background": 0.0,
|
1786 |
"eval_iou_biofilm": 0.0,
|
1787 |
-
"eval_loss":
|
1788 |
"eval_mean_accuracy": NaN,
|
1789 |
"eval_mean_iou": 0.0,
|
1790 |
"eval_overall_accuracy": NaN,
|
1791 |
-
"eval_runtime":
|
1792 |
-
"eval_samples_per_second":
|
1793 |
-
"eval_steps_per_second":
|
1794 |
"step": 10000
|
1795 |
},
|
1796 |
{
|
1797 |
"epoch": 78.12,
|
1798 |
"step": 10000,
|
1799 |
"total_flos": 1.3940333585388012e+18,
|
1800 |
-
"train_loss": 0.
|
1801 |
-
"train_runtime":
|
1802 |
-
"train_samples_per_second": 8.
|
1803 |
-
"train_steps_per_second": 1.
|
1804 |
}
|
1805 |
],
|
1806 |
"logging_steps": 100,
|
|
|
11 |
{
|
12 |
"epoch": 0.78,
|
13 |
"learning_rate": 5.9401e-05,
|
14 |
+
"loss": 0.3228,
|
15 |
"step": 100
|
16 |
},
|
17 |
{
|
|
|
20 |
"eval_accuracy_biofilm": NaN,
|
21 |
"eval_iou_background": 0.0,
|
22 |
"eval_iou_biofilm": 0.0,
|
23 |
+
"eval_loss": 0.09370812028646469,
|
24 |
"eval_mean_accuracy": NaN,
|
25 |
"eval_mean_iou": 0.0,
|
26 |
"eval_overall_accuracy": NaN,
|
27 |
+
"eval_runtime": 17.8778,
|
28 |
+
"eval_samples_per_second": 14.264,
|
29 |
+
"eval_steps_per_second": 1.79,
|
30 |
"step": 128
|
31 |
},
|
32 |
{
|
33 |
"epoch": 1.56,
|
34 |
"learning_rate": 5.8802000000000004e-05,
|
35 |
+
"loss": 0.0951,
|
36 |
"step": 200
|
37 |
},
|
38 |
{
|
|
|
41 |
"eval_accuracy_biofilm": NaN,
|
42 |
"eval_iou_background": 0.0,
|
43 |
"eval_iou_biofilm": 0.0,
|
44 |
+
"eval_loss": 0.04195939749479294,
|
45 |
"eval_mean_accuracy": NaN,
|
46 |
"eval_mean_iou": 0.0,
|
47 |
"eval_overall_accuracy": NaN,
|
48 |
+
"eval_runtime": 16.1591,
|
49 |
+
"eval_samples_per_second": 15.781,
|
50 |
+
"eval_steps_per_second": 1.98,
|
51 |
"step": 256
|
52 |
},
|
53 |
{
|
54 |
"epoch": 2.34,
|
55 |
"learning_rate": 5.8203e-05,
|
56 |
+
"loss": 0.0409,
|
57 |
"step": 300
|
58 |
},
|
59 |
{
|
|
|
62 |
"eval_accuracy_biofilm": NaN,
|
63 |
"eval_iou_background": 0.0,
|
64 |
"eval_iou_biofilm": 0.0,
|
65 |
+
"eval_loss": 0.016977887600660324,
|
66 |
"eval_mean_accuracy": NaN,
|
67 |
"eval_mean_iou": 0.0,
|
68 |
"eval_overall_accuracy": NaN,
|
69 |
+
"eval_runtime": 15.8931,
|
70 |
+
"eval_samples_per_second": 16.045,
|
71 |
+
"eval_steps_per_second": 2.013,
|
72 |
"step": 384
|
73 |
},
|
74 |
{
|
75 |
"epoch": 3.12,
|
76 |
"learning_rate": 5.7604e-05,
|
77 |
+
"loss": 0.0212,
|
78 |
"step": 400
|
79 |
},
|
80 |
{
|
81 |
"epoch": 3.91,
|
82 |
"learning_rate": 5.7005e-05,
|
83 |
+
"loss": 0.0147,
|
84 |
"step": 500
|
85 |
},
|
86 |
{
|
|
|
89 |
"eval_accuracy_biofilm": NaN,
|
90 |
"eval_iou_background": 0.0,
|
91 |
"eval_iou_biofilm": 0.0,
|
92 |
+
"eval_loss": 0.01134557742625475,
|
93 |
"eval_mean_accuracy": NaN,
|
94 |
"eval_mean_iou": 0.0,
|
95 |
"eval_overall_accuracy": NaN,
|
96 |
+
"eval_runtime": 16.0444,
|
97 |
+
"eval_samples_per_second": 15.893,
|
98 |
+
"eval_steps_per_second": 1.994,
|
99 |
"step": 512
|
100 |
},
|
101 |
{
|
102 |
"epoch": 4.69,
|
103 |
"learning_rate": 5.6406e-05,
|
104 |
+
"loss": 0.0107,
|
105 |
"step": 600
|
106 |
},
|
107 |
{
|
|
|
110 |
"eval_accuracy_biofilm": NaN,
|
111 |
"eval_iou_background": 0.0,
|
112 |
"eval_iou_biofilm": 0.0,
|
113 |
+
"eval_loss": 0.007598749361932278,
|
114 |
"eval_mean_accuracy": NaN,
|
115 |
"eval_mean_iou": 0.0,
|
116 |
"eval_overall_accuracy": NaN,
|
117 |
+
"eval_runtime": 15.8108,
|
118 |
+
"eval_samples_per_second": 16.128,
|
119 |
+
"eval_steps_per_second": 2.024,
|
120 |
"step": 640
|
121 |
},
|
122 |
{
|
123 |
"epoch": 5.47,
|
124 |
"learning_rate": 5.5806999999999996e-05,
|
125 |
+
"loss": 0.0073,
|
126 |
"step": 700
|
127 |
},
|
128 |
{
|
|
|
131 |
"eval_accuracy_biofilm": NaN,
|
132 |
"eval_iou_background": 0.0,
|
133 |
"eval_iou_biofilm": 0.0,
|
134 |
+
"eval_loss": 0.006735116243362427,
|
135 |
"eval_mean_accuracy": NaN,
|
136 |
"eval_mean_iou": 0.0,
|
137 |
"eval_overall_accuracy": NaN,
|
138 |
+
"eval_runtime": 15.9464,
|
139 |
+
"eval_samples_per_second": 15.991,
|
140 |
+
"eval_steps_per_second": 2.007,
|
141 |
"step": 768
|
142 |
},
|
143 |
{
|
144 |
"epoch": 6.25,
|
145 |
"learning_rate": 5.5208000000000004e-05,
|
146 |
+
"loss": 0.0057,
|
147 |
"step": 800
|
148 |
},
|
149 |
{
|
|
|
152 |
"eval_accuracy_biofilm": NaN,
|
153 |
"eval_iou_background": 0.0,
|
154 |
"eval_iou_biofilm": 0.0,
|
155 |
+
"eval_loss": 0.00310508138500154,
|
156 |
"eval_mean_accuracy": NaN,
|
157 |
"eval_mean_iou": 0.0,
|
158 |
"eval_overall_accuracy": NaN,
|
159 |
+
"eval_runtime": 16.1929,
|
160 |
+
"eval_samples_per_second": 15.748,
|
161 |
+
"eval_steps_per_second": 1.976,
|
162 |
"step": 896
|
163 |
},
|
164 |
{
|
165 |
"epoch": 7.03,
|
166 |
"learning_rate": 5.4609000000000005e-05,
|
167 |
+
"loss": 0.0046,
|
168 |
"step": 900
|
169 |
},
|
170 |
{
|
171 |
"epoch": 7.81,
|
172 |
"learning_rate": 5.401e-05,
|
173 |
+
"loss": 0.0039,
|
174 |
"step": 1000
|
175 |
},
|
176 |
{
|
|
|
179 |
"eval_accuracy_biofilm": NaN,
|
180 |
"eval_iou_background": 0.0,
|
181 |
"eval_iou_biofilm": 0.0,
|
182 |
+
"eval_loss": 0.002817428670823574,
|
183 |
"eval_mean_accuracy": NaN,
|
184 |
"eval_mean_iou": 0.0,
|
185 |
"eval_overall_accuracy": NaN,
|
186 |
+
"eval_runtime": 15.9913,
|
187 |
+
"eval_samples_per_second": 15.946,
|
188 |
+
"eval_steps_per_second": 2.001,
|
189 |
"step": 1024
|
190 |
},
|
191 |
{
|
192 |
"epoch": 8.59,
|
193 |
"learning_rate": 5.3411e-05,
|
194 |
+
"loss": 0.0033,
|
195 |
"step": 1100
|
196 |
},
|
197 |
{
|
|
|
200 |
"eval_accuracy_biofilm": NaN,
|
201 |
"eval_iou_background": 0.0,
|
202 |
"eval_iou_biofilm": 0.0,
|
203 |
+
"eval_loss": 0.0025786487385630608,
|
204 |
"eval_mean_accuracy": NaN,
|
205 |
"eval_mean_iou": 0.0,
|
206 |
"eval_overall_accuracy": NaN,
|
207 |
+
"eval_runtime": 15.9576,
|
208 |
+
"eval_samples_per_second": 15.98,
|
209 |
+
"eval_steps_per_second": 2.005,
|
210 |
"step": 1152
|
211 |
},
|
212 |
{
|
213 |
"epoch": 9.38,
|
214 |
"learning_rate": 5.2812e-05,
|
215 |
+
"loss": 0.0026,
|
216 |
"step": 1200
|
217 |
},
|
218 |
{
|
|
|
221 |
"eval_accuracy_biofilm": NaN,
|
222 |
"eval_iou_background": 0.0,
|
223 |
"eval_iou_biofilm": 0.0,
|
224 |
+
"eval_loss": 0.0022622602991759777,
|
225 |
"eval_mean_accuracy": NaN,
|
226 |
"eval_mean_iou": 0.0,
|
227 |
"eval_overall_accuracy": NaN,
|
228 |
+
"eval_runtime": 16.0441,
|
229 |
+
"eval_samples_per_second": 15.894,
|
230 |
+
"eval_steps_per_second": 1.995,
|
231 |
"step": 1280
|
232 |
},
|
233 |
{
|
234 |
"epoch": 10.16,
|
235 |
"learning_rate": 5.2213e-05,
|
236 |
+
"loss": 0.0024,
|
237 |
"step": 1300
|
238 |
},
|
239 |
{
|
240 |
"epoch": 10.94,
|
241 |
"learning_rate": 5.1614000000000004e-05,
|
242 |
+
"loss": 0.0021,
|
243 |
"step": 1400
|
244 |
},
|
245 |
{
|
|
|
248 |
"eval_accuracy_biofilm": NaN,
|
249 |
"eval_iou_background": 0.0,
|
250 |
"eval_iou_biofilm": 0.0,
|
251 |
+
"eval_loss": 0.0017105013830587268,
|
252 |
"eval_mean_accuracy": NaN,
|
253 |
"eval_mean_iou": 0.0,
|
254 |
"eval_overall_accuracy": NaN,
|
255 |
+
"eval_runtime": 16.4185,
|
256 |
+
"eval_samples_per_second": 15.531,
|
257 |
+
"eval_steps_per_second": 1.949,
|
258 |
"step": 1408
|
259 |
},
|
260 |
{
|
261 |
"epoch": 11.72,
|
262 |
"learning_rate": 5.1015e-05,
|
263 |
+
"loss": 0.0019,
|
264 |
"step": 1500
|
265 |
},
|
266 |
{
|
|
|
269 |
"eval_accuracy_biofilm": NaN,
|
270 |
"eval_iou_background": 0.0,
|
271 |
"eval_iou_biofilm": 0.0,
|
272 |
+
"eval_loss": 0.0016610192833468318,
|
273 |
"eval_mean_accuracy": NaN,
|
274 |
"eval_mean_iou": 0.0,
|
275 |
"eval_overall_accuracy": NaN,
|
276 |
+
"eval_runtime": 15.9916,
|
277 |
+
"eval_samples_per_second": 15.946,
|
278 |
+
"eval_steps_per_second": 2.001,
|
279 |
"step": 1536
|
280 |
},
|
281 |
{
|
282 |
"epoch": 12.5,
|
283 |
"learning_rate": 5.0416e-05,
|
284 |
+
"loss": 0.0016,
|
285 |
"step": 1600
|
286 |
},
|
287 |
{
|
|
|
290 |
"eval_accuracy_biofilm": NaN,
|
291 |
"eval_iou_background": 0.0,
|
292 |
"eval_iou_biofilm": 0.0,
|
293 |
+
"eval_loss": 0.0014826087281107903,
|
294 |
"eval_mean_accuracy": NaN,
|
295 |
"eval_mean_iou": 0.0,
|
296 |
"eval_overall_accuracy": NaN,
|
297 |
+
"eval_runtime": 15.8556,
|
298 |
+
"eval_samples_per_second": 16.083,
|
299 |
+
"eval_steps_per_second": 2.018,
|
300 |
"step": 1664
|
301 |
},
|
302 |
{
|
303 |
"epoch": 13.28,
|
304 |
"learning_rate": 4.9817e-05,
|
305 |
+
"loss": 0.0013,
|
306 |
"step": 1700
|
307 |
},
|
308 |
{
|
|
|
311 |
"eval_accuracy_biofilm": NaN,
|
312 |
"eval_iou_background": 0.0,
|
313 |
"eval_iou_biofilm": 0.0,
|
314 |
+
"eval_loss": 0.0012232970912009478,
|
315 |
"eval_mean_accuracy": NaN,
|
316 |
"eval_mean_iou": 0.0,
|
317 |
"eval_overall_accuracy": NaN,
|
318 |
+
"eval_runtime": 15.9996,
|
319 |
+
"eval_samples_per_second": 15.938,
|
320 |
+
"eval_steps_per_second": 2.0,
|
321 |
"step": 1792
|
322 |
},
|
323 |
{
|
324 |
"epoch": 14.06,
|
325 |
"learning_rate": 4.9218e-05,
|
326 |
+
"loss": 0.0012,
|
327 |
"step": 1800
|
328 |
},
|
329 |
{
|
330 |
"epoch": 14.84,
|
331 |
"learning_rate": 4.8619e-05,
|
332 |
+
"loss": 0.0011,
|
333 |
"step": 1900
|
334 |
},
|
335 |
{
|
|
|
338 |
"eval_accuracy_biofilm": NaN,
|
339 |
"eval_iou_background": 0.0,
|
340 |
"eval_iou_biofilm": 0.0,
|
341 |
+
"eval_loss": 0.0008539848495274782,
|
342 |
"eval_mean_accuracy": NaN,
|
343 |
"eval_mean_iou": 0.0,
|
344 |
"eval_overall_accuracy": NaN,
|
345 |
+
"eval_runtime": 15.7935,
|
346 |
+
"eval_samples_per_second": 16.146,
|
347 |
+
"eval_steps_per_second": 2.026,
|
348 |
"step": 1920
|
349 |
},
|
350 |
{
|
|
|
359 |
"eval_accuracy_biofilm": NaN,
|
360 |
"eval_iou_background": 0.0,
|
361 |
"eval_iou_biofilm": 0.0,
|
362 |
+
"eval_loss": 0.0006804519798606634,
|
363 |
"eval_mean_accuracy": NaN,
|
364 |
"eval_mean_iou": 0.0,
|
365 |
"eval_overall_accuracy": NaN,
|
366 |
+
"eval_runtime": 15.77,
|
367 |
+
"eval_samples_per_second": 16.17,
|
368 |
+
"eval_steps_per_second": 2.029,
|
369 |
"step": 2048
|
370 |
},
|
371 |
{
|
372 |
"epoch": 16.41,
|
373 |
"learning_rate": 4.7421000000000006e-05,
|
374 |
+
"loss": 0.001,
|
375 |
"step": 2100
|
376 |
},
|
377 |
{
|
|
|
380 |
"eval_accuracy_biofilm": NaN,
|
381 |
"eval_iou_background": 0.0,
|
382 |
"eval_iou_biofilm": 0.0,
|
383 |
+
"eval_loss": 0.000750455423258245,
|
384 |
"eval_mean_accuracy": NaN,
|
385 |
"eval_mean_iou": 0.0,
|
386 |
"eval_overall_accuracy": NaN,
|
387 |
+
"eval_runtime": 16.146,
|
388 |
+
"eval_samples_per_second": 15.793,
|
389 |
+
"eval_steps_per_second": 1.982,
|
390 |
"step": 2176
|
391 |
},
|
392 |
{
|
393 |
"epoch": 17.19,
|
394 |
"learning_rate": 4.6822e-05,
|
395 |
+
"loss": 0.0008,
|
396 |
"step": 2200
|
397 |
},
|
398 |
{
|
399 |
"epoch": 17.97,
|
400 |
"learning_rate": 4.6223e-05,
|
401 |
+
"loss": 0.0007,
|
402 |
"step": 2300
|
403 |
},
|
404 |
{
|
|
|
407 |
"eval_accuracy_biofilm": NaN,
|
408 |
"eval_iou_background": 0.0,
|
409 |
"eval_iou_biofilm": 0.0,
|
410 |
+
"eval_loss": 0.0008072906639426947,
|
411 |
"eval_mean_accuracy": NaN,
|
412 |
"eval_mean_iou": 0.0,
|
413 |
"eval_overall_accuracy": NaN,
|
414 |
+
"eval_runtime": 15.9426,
|
415 |
+
"eval_samples_per_second": 15.995,
|
416 |
+
"eval_steps_per_second": 2.007,
|
417 |
"step": 2304
|
418 |
},
|
419 |
{
|
420 |
"epoch": 18.75,
|
421 |
"learning_rate": 4.5624e-05,
|
422 |
+
"loss": 0.0007,
|
423 |
"step": 2400
|
424 |
},
|
425 |
{
|
|
|
428 |
"eval_accuracy_biofilm": NaN,
|
429 |
"eval_iou_background": 0.0,
|
430 |
"eval_iou_biofilm": 0.0,
|
431 |
+
"eval_loss": 0.0006824791198596358,
|
432 |
"eval_mean_accuracy": NaN,
|
433 |
"eval_mean_iou": 0.0,
|
434 |
"eval_overall_accuracy": NaN,
|
435 |
+
"eval_runtime": 16.0402,
|
436 |
+
"eval_samples_per_second": 15.898,
|
437 |
+
"eval_steps_per_second": 1.995,
|
438 |
"step": 2432
|
439 |
},
|
440 |
{
|
441 |
"epoch": 19.53,
|
442 |
"learning_rate": 4.5025000000000003e-05,
|
443 |
+
"loss": 0.0007,
|
444 |
"step": 2500
|
445 |
},
|
446 |
{
|
|
|
449 |
"eval_accuracy_biofilm": NaN,
|
450 |
"eval_iou_background": 0.0,
|
451 |
"eval_iou_biofilm": 0.0,
|
452 |
+
"eval_loss": 0.000676920113619417,
|
453 |
"eval_mean_accuracy": NaN,
|
454 |
"eval_mean_iou": 0.0,
|
455 |
"eval_overall_accuracy": NaN,
|
456 |
+
"eval_runtime": 15.9903,
|
457 |
+
"eval_samples_per_second": 15.947,
|
458 |
+
"eval_steps_per_second": 2.001,
|
459 |
"step": 2560
|
460 |
},
|
461 |
{
|
462 |
"epoch": 20.31,
|
463 |
"learning_rate": 4.4426000000000005e-05,
|
464 |
+
"loss": 0.0007,
|
465 |
"step": 2600
|
466 |
},
|
467 |
{
|
|
|
470 |
"eval_accuracy_biofilm": NaN,
|
471 |
"eval_iou_background": 0.0,
|
472 |
"eval_iou_biofilm": 0.0,
|
473 |
+
"eval_loss": 0.00044316620915196836,
|
474 |
"eval_mean_accuracy": NaN,
|
475 |
"eval_mean_iou": 0.0,
|
476 |
"eval_overall_accuracy": NaN,
|
477 |
+
"eval_runtime": 16.0616,
|
478 |
+
"eval_samples_per_second": 15.876,
|
479 |
+
"eval_steps_per_second": 1.992,
|
480 |
"step": 2688
|
481 |
},
|
482 |
{
|
483 |
"epoch": 21.09,
|
484 |
"learning_rate": 4.3827e-05,
|
485 |
+
"loss": 0.0006,
|
486 |
"step": 2700
|
487 |
},
|
488 |
{
|
489 |
"epoch": 21.88,
|
490 |
"learning_rate": 4.3228e-05,
|
491 |
+
"loss": 0.0005,
|
492 |
"step": 2800
|
493 |
},
|
494 |
{
|
|
|
497 |
"eval_accuracy_biofilm": NaN,
|
498 |
"eval_iou_background": 0.0,
|
499 |
"eval_iou_biofilm": 0.0,
|
500 |
+
"eval_loss": 0.0005192271783016622,
|
501 |
"eval_mean_accuracy": NaN,
|
502 |
"eval_mean_iou": 0.0,
|
503 |
"eval_overall_accuracy": NaN,
|
504 |
+
"eval_runtime": 16.1955,
|
505 |
+
"eval_samples_per_second": 15.745,
|
506 |
+
"eval_steps_per_second": 1.976,
|
507 |
"step": 2816
|
508 |
},
|
509 |
{
|
510 |
"epoch": 22.66,
|
511 |
"learning_rate": 4.2629e-05,
|
512 |
+
"loss": 0.0004,
|
513 |
"step": 2900
|
514 |
},
|
515 |
{
|
|
|
518 |
"eval_accuracy_biofilm": NaN,
|
519 |
"eval_iou_background": 0.0,
|
520 |
"eval_iou_biofilm": 0.0,
|
521 |
+
"eval_loss": 0.00034295162186026573,
|
522 |
"eval_mean_accuracy": NaN,
|
523 |
"eval_mean_iou": 0.0,
|
524 |
"eval_overall_accuracy": NaN,
|
525 |
+
"eval_runtime": 15.8938,
|
526 |
+
"eval_samples_per_second": 16.044,
|
527 |
+
"eval_steps_per_second": 2.013,
|
528 |
"step": 2944
|
529 |
},
|
530 |
{
|
|
|
539 |
"eval_accuracy_biofilm": NaN,
|
540 |
"eval_iou_background": 0.0,
|
541 |
"eval_iou_biofilm": 0.0,
|
542 |
+
"eval_loss": 0.00048744268133305013,
|
543 |
"eval_mean_accuracy": NaN,
|
544 |
"eval_mean_iou": 0.0,
|
545 |
"eval_overall_accuracy": NaN,
|
546 |
+
"eval_runtime": 15.788,
|
547 |
+
"eval_samples_per_second": 16.152,
|
548 |
+
"eval_steps_per_second": 2.027,
|
549 |
"step": 3072
|
550 |
},
|
551 |
{
|
|
|
557 |
{
|
558 |
"epoch": 25.0,
|
559 |
"learning_rate": 4.0832e-05,
|
560 |
+
"loss": 0.0004,
|
561 |
"step": 3200
|
562 |
},
|
563 |
{
|
|
|
566 |
"eval_accuracy_biofilm": NaN,
|
567 |
"eval_iou_background": 0.0,
|
568 |
"eval_iou_biofilm": 0.0,
|
569 |
+
"eval_loss": 0.0003115552244707942,
|
570 |
"eval_mean_accuracy": NaN,
|
571 |
"eval_mean_iou": 0.0,
|
572 |
"eval_overall_accuracy": NaN,
|
573 |
+
"eval_runtime": 15.9854,
|
574 |
+
"eval_samples_per_second": 15.952,
|
575 |
+
"eval_steps_per_second": 2.002,
|
576 |
"step": 3200
|
577 |
},
|
578 |
{
|
|
|
587 |
"eval_accuracy_biofilm": NaN,
|
588 |
"eval_iou_background": 0.0,
|
589 |
"eval_iou_biofilm": 0.0,
|
590 |
+
"eval_loss": 0.0002997153496835381,
|
591 |
"eval_mean_accuracy": NaN,
|
592 |
"eval_mean_iou": 0.0,
|
593 |
"eval_overall_accuracy": NaN,
|
594 |
+
"eval_runtime": 15.8645,
|
595 |
+
"eval_samples_per_second": 16.074,
|
596 |
+
"eval_steps_per_second": 2.017,
|
597 |
"step": 3328
|
598 |
},
|
599 |
{
|
|
|
608 |
"eval_accuracy_biofilm": NaN,
|
609 |
"eval_iou_background": 0.0,
|
610 |
"eval_iou_biofilm": 0.0,
|
611 |
+
"eval_loss": 0.000279649393633008,
|
612 |
"eval_mean_accuracy": NaN,
|
613 |
"eval_mean_iou": 0.0,
|
614 |
"eval_overall_accuracy": NaN,
|
615 |
+
"eval_runtime": 15.9985,
|
616 |
+
"eval_samples_per_second": 15.939,
|
617 |
+
"eval_steps_per_second": 2.0,
|
618 |
"step": 3456
|
619 |
},
|
620 |
{
|
621 |
"epoch": 27.34,
|
622 |
"learning_rate": 3.9035e-05,
|
623 |
+
"loss": 0.0003,
|
624 |
"step": 3500
|
625 |
},
|
626 |
{
|
|
|
629 |
"eval_accuracy_biofilm": NaN,
|
630 |
"eval_iou_background": 0.0,
|
631 |
"eval_iou_biofilm": 0.0,
|
632 |
+
"eval_loss": 0.00028080513584427536,
|
633 |
"eval_mean_accuracy": NaN,
|
634 |
"eval_mean_iou": 0.0,
|
635 |
"eval_overall_accuracy": NaN,
|
636 |
+
"eval_runtime": 16.1936,
|
637 |
+
"eval_samples_per_second": 15.747,
|
638 |
+
"eval_steps_per_second": 1.976,
|
639 |
"step": 3584
|
640 |
},
|
641 |
{
|
|
|
647 |
{
|
648 |
"epoch": 28.91,
|
649 |
"learning_rate": 3.7837000000000004e-05,
|
650 |
+
"loss": 0.0003,
|
651 |
"step": 3700
|
652 |
},
|
653 |
{
|
|
|
656 |
"eval_accuracy_biofilm": NaN,
|
657 |
"eval_iou_background": 0.0,
|
658 |
"eval_iou_biofilm": 0.0,
|
659 |
+
"eval_loss": 0.0002403347025392577,
|
660 |
"eval_mean_accuracy": NaN,
|
661 |
"eval_mean_iou": 0.0,
|
662 |
"eval_overall_accuracy": NaN,
|
663 |
+
"eval_runtime": 16.3936,
|
664 |
+
"eval_samples_per_second": 15.555,
|
665 |
+
"eval_steps_per_second": 1.952,
|
666 |
"step": 3712
|
667 |
},
|
668 |
{
|
669 |
"epoch": 29.69,
|
670 |
"learning_rate": 3.7238000000000005e-05,
|
671 |
+
"loss": 0.0002,
|
672 |
"step": 3800
|
673 |
},
|
674 |
{
|
|
|
677 |
"eval_accuracy_biofilm": NaN,
|
678 |
"eval_iou_background": 0.0,
|
679 |
"eval_iou_biofilm": 0.0,
|
680 |
+
"eval_loss": 0.00024788224254734814,
|
681 |
"eval_mean_accuracy": NaN,
|
682 |
"eval_mean_iou": 0.0,
|
683 |
"eval_overall_accuracy": NaN,
|
684 |
+
"eval_runtime": 15.923,
|
685 |
+
"eval_samples_per_second": 16.015,
|
686 |
+
"eval_steps_per_second": 2.01,
|
687 |
"step": 3840
|
688 |
},
|
689 |
{
|
|
|
698 |
"eval_accuracy_biofilm": NaN,
|
699 |
"eval_iou_background": 0.0,
|
700 |
"eval_iou_biofilm": 0.0,
|
701 |
+
"eval_loss": 0.00016257326933555305,
|
702 |
"eval_mean_accuracy": NaN,
|
703 |
"eval_mean_iou": 0.0,
|
704 |
"eval_overall_accuracy": NaN,
|
705 |
+
"eval_runtime": 16.032,
|
706 |
+
"eval_samples_per_second": 15.906,
|
707 |
+
"eval_steps_per_second": 1.996,
|
708 |
"step": 3968
|
709 |
},
|
710 |
{
|
|
|
719 |
"eval_accuracy_biofilm": NaN,
|
720 |
"eval_iou_background": 0.0,
|
721 |
"eval_iou_biofilm": 0.0,
|
722 |
+
"eval_loss": 0.0001974134793272242,
|
723 |
"eval_mean_accuracy": NaN,
|
724 |
"eval_mean_iou": 0.0,
|
725 |
"eval_overall_accuracy": NaN,
|
726 |
+
"eval_runtime": 16.5291,
|
727 |
+
"eval_samples_per_second": 15.427,
|
728 |
+
"eval_steps_per_second": 1.936,
|
729 |
"step": 4096
|
730 |
},
|
731 |
{
|
|
|
746 |
"eval_accuracy_biofilm": NaN,
|
747 |
"eval_iou_background": 0.0,
|
748 |
"eval_iou_biofilm": 0.0,
|
749 |
+
"eval_loss": 0.0001685962633928284,
|
750 |
"eval_mean_accuracy": NaN,
|
751 |
"eval_mean_iou": 0.0,
|
752 |
"eval_overall_accuracy": NaN,
|
753 |
+
"eval_runtime": 16.455,
|
754 |
+
"eval_samples_per_second": 15.497,
|
755 |
+
"eval_steps_per_second": 1.945,
|
756 |
"step": 4224
|
757 |
},
|
758 |
{
|
|
|
767 |
"eval_accuracy_biofilm": NaN,
|
768 |
"eval_iou_background": 0.0,
|
769 |
"eval_iou_biofilm": 0.0,
|
770 |
+
"eval_loss": 0.0002563679881859571,
|
771 |
"eval_mean_accuracy": NaN,
|
772 |
"eval_mean_iou": 0.0,
|
773 |
"eval_overall_accuracy": NaN,
|
774 |
+
"eval_runtime": 16.2234,
|
775 |
+
"eval_samples_per_second": 15.718,
|
776 |
+
"eval_steps_per_second": 1.972,
|
777 |
"step": 4352
|
778 |
},
|
779 |
{
|
|
|
788 |
"eval_accuracy_biofilm": NaN,
|
789 |
"eval_iou_background": 0.0,
|
790 |
"eval_iou_biofilm": 0.0,
|
791 |
+
"eval_loss": 0.0002436441573081538,
|
792 |
"eval_mean_accuracy": NaN,
|
793 |
"eval_mean_iou": 0.0,
|
794 |
"eval_overall_accuracy": NaN,
|
795 |
+
"eval_runtime": 16.342,
|
796 |
+
"eval_samples_per_second": 15.604,
|
797 |
+
"eval_steps_per_second": 1.958,
|
798 |
"step": 4480
|
799 |
},
|
800 |
{
|
801 |
"epoch": 35.16,
|
802 |
"learning_rate": 3.3045000000000006e-05,
|
803 |
+
"loss": 0.0002,
|
804 |
"step": 4500
|
805 |
},
|
806 |
{
|
|
|
815 |
"eval_accuracy_biofilm": NaN,
|
816 |
"eval_iou_background": 0.0,
|
817 |
"eval_iou_biofilm": 0.0,
|
818 |
+
"eval_loss": 0.00015212464495562017,
|
819 |
"eval_mean_accuracy": NaN,
|
820 |
"eval_mean_iou": 0.0,
|
821 |
"eval_overall_accuracy": NaN,
|
822 |
+
"eval_runtime": 16.1695,
|
823 |
+
"eval_samples_per_second": 15.77,
|
824 |
+
"eval_steps_per_second": 1.979,
|
825 |
"step": 4608
|
826 |
},
|
827 |
{
|
|
|
836 |
"eval_accuracy_biofilm": NaN,
|
837 |
"eval_iou_background": 0.0,
|
838 |
"eval_iou_biofilm": 0.0,
|
839 |
+
"eval_loss": 0.0001307940692640841,
|
840 |
"eval_mean_accuracy": NaN,
|
841 |
"eval_mean_iou": 0.0,
|
842 |
"eval_overall_accuracy": NaN,
|
843 |
+
"eval_runtime": 18.7836,
|
844 |
+
"eval_samples_per_second": 13.576,
|
845 |
+
"eval_steps_per_second": 1.704,
|
846 |
"step": 4736
|
847 |
},
|
848 |
{
|
|
|
857 |
"eval_accuracy_biofilm": NaN,
|
858 |
"eval_iou_background": 0.0,
|
859 |
"eval_iou_biofilm": 0.0,
|
860 |
+
"eval_loss": 0.0001297226408496499,
|
861 |
"eval_mean_accuracy": NaN,
|
862 |
"eval_mean_iou": 0.0,
|
863 |
"eval_overall_accuracy": NaN,
|
864 |
+
"eval_runtime": 16.1166,
|
865 |
+
"eval_samples_per_second": 15.822,
|
866 |
+
"eval_steps_per_second": 1.986,
|
867 |
"step": 4864
|
868 |
},
|
869 |
{
|
|
|
878 |
"eval_accuracy_biofilm": NaN,
|
879 |
"eval_iou_background": 0.0,
|
880 |
"eval_iou_biofilm": 0.0,
|
881 |
+
"eval_loss": 0.00013660616241395473,
|
882 |
"eval_mean_accuracy": NaN,
|
883 |
"eval_mean_iou": 0.0,
|
884 |
"eval_overall_accuracy": NaN,
|
885 |
+
"eval_runtime": 15.9771,
|
886 |
+
"eval_samples_per_second": 15.96,
|
887 |
+
"eval_steps_per_second": 2.003,
|
888 |
"step": 4992
|
889 |
},
|
890 |
{
|
|
|
905 |
"eval_accuracy_biofilm": NaN,
|
906 |
"eval_iou_background": 0.0,
|
907 |
"eval_iou_biofilm": 0.0,
|
908 |
+
"eval_loss": 0.00010652265336830169,
|
909 |
"eval_mean_accuracy": NaN,
|
910 |
"eval_mean_iou": 0.0,
|
911 |
"eval_overall_accuracy": NaN,
|
912 |
+
"eval_runtime": 15.9939,
|
913 |
+
"eval_samples_per_second": 15.944,
|
914 |
+
"eval_steps_per_second": 2.001,
|
915 |
"step": 5120
|
916 |
},
|
917 |
{
|
|
|
926 |
"eval_accuracy_biofilm": NaN,
|
927 |
"eval_iou_background": 0.0,
|
928 |
"eval_iou_biofilm": 0.0,
|
929 |
+
"eval_loss": 0.0001572607143316418,
|
930 |
"eval_mean_accuracy": NaN,
|
931 |
"eval_mean_iou": 0.0,
|
932 |
"eval_overall_accuracy": NaN,
|
933 |
+
"eval_runtime": 15.8718,
|
934 |
+
"eval_samples_per_second": 16.066,
|
935 |
+
"eval_steps_per_second": 2.016,
|
936 |
"step": 5248
|
937 |
},
|
938 |
{
|
939 |
"epoch": 41.41,
|
940 |
"learning_rate": 2.8253e-05,
|
941 |
+
"loss": 0.0002,
|
942 |
"step": 5300
|
943 |
},
|
944 |
{
|
|
|
947 |
"eval_accuracy_biofilm": NaN,
|
948 |
"eval_iou_background": 0.0,
|
949 |
"eval_iou_biofilm": 0.0,
|
950 |
+
"eval_loss": 0.00010445554653415456,
|
951 |
"eval_mean_accuracy": NaN,
|
952 |
"eval_mean_iou": 0.0,
|
953 |
"eval_overall_accuracy": NaN,
|
954 |
+
"eval_runtime": 16.1214,
|
955 |
+
"eval_samples_per_second": 15.817,
|
956 |
+
"eval_steps_per_second": 1.985,
|
957 |
"step": 5376
|
958 |
},
|
959 |
{
|
|
|
974 |
"eval_accuracy_biofilm": NaN,
|
975 |
"eval_iou_background": 0.0,
|
976 |
"eval_iou_biofilm": 0.0,
|
977 |
+
"eval_loss": 0.0001289825013373047,
|
978 |
"eval_mean_accuracy": NaN,
|
979 |
"eval_mean_iou": 0.0,
|
980 |
"eval_overall_accuracy": NaN,
|
981 |
+
"eval_runtime": 16.0614,
|
982 |
+
"eval_samples_per_second": 15.877,
|
983 |
+
"eval_steps_per_second": 1.992,
|
984 |
"step": 5504
|
985 |
},
|
986 |
{
|
|
|
995 |
"eval_accuracy_biofilm": NaN,
|
996 |
"eval_iou_background": 0.0,
|
997 |
"eval_iou_biofilm": 0.0,
|
998 |
+
"eval_loss": 9.828585461946204e-05,
|
999 |
"eval_mean_accuracy": NaN,
|
1000 |
"eval_mean_iou": 0.0,
|
1001 |
"eval_overall_accuracy": NaN,
|
1002 |
+
"eval_runtime": 16.0965,
|
1003 |
+
"eval_samples_per_second": 15.842,
|
1004 |
+
"eval_steps_per_second": 1.988,
|
1005 |
"step": 5632
|
1006 |
},
|
1007 |
{
|
|
|
1016 |
"eval_accuracy_biofilm": NaN,
|
1017 |
"eval_iou_background": 0.0,
|
1018 |
"eval_iou_biofilm": 0.0,
|
1019 |
+
"eval_loss": 9.748037700774148e-05,
|
1020 |
"eval_mean_accuracy": NaN,
|
1021 |
"eval_mean_iou": 0.0,
|
1022 |
"eval_overall_accuracy": NaN,
|
1023 |
+
"eval_runtime": 15.9607,
|
1024 |
+
"eval_samples_per_second": 15.977,
|
1025 |
+
"eval_steps_per_second": 2.005,
|
1026 |
"step": 5760
|
1027 |
},
|
1028 |
{
|
|
|
1037 |
"eval_accuracy_biofilm": NaN,
|
1038 |
"eval_iou_background": 0.0,
|
1039 |
"eval_iou_biofilm": 0.0,
|
1040 |
+
"eval_loss": 0.00012386652815621346,
|
1041 |
"eval_mean_accuracy": NaN,
|
1042 |
"eval_mean_iou": 0.0,
|
1043 |
"eval_overall_accuracy": NaN,
|
1044 |
+
"eval_runtime": 15.9801,
|
1045 |
+
"eval_samples_per_second": 15.957,
|
1046 |
+
"eval_steps_per_second": 2.002,
|
1047 |
"step": 5888
|
1048 |
},
|
1049 |
{
|
|
|
1064 |
"eval_accuracy_biofilm": NaN,
|
1065 |
"eval_iou_background": 0.0,
|
1066 |
"eval_iou_biofilm": 0.0,
|
1067 |
+
"eval_loss": 0.0002265314687974751,
|
1068 |
"eval_mean_accuracy": NaN,
|
1069 |
"eval_mean_iou": 0.0,
|
1070 |
"eval_overall_accuracy": NaN,
|
1071 |
+
"eval_runtime": 16.0218,
|
1072 |
+
"eval_samples_per_second": 15.916,
|
1073 |
+
"eval_steps_per_second": 1.997,
|
1074 |
"step": 6016
|
1075 |
},
|
1076 |
{
|
|
|
1085 |
"eval_accuracy_biofilm": NaN,
|
1086 |
"eval_iou_background": 0.0,
|
1087 |
"eval_iou_biofilm": 0.0,
|
1088 |
+
"eval_loss": 7.322694727918133e-05,
|
1089 |
"eval_mean_accuracy": NaN,
|
1090 |
"eval_mean_iou": 0.0,
|
1091 |
"eval_overall_accuracy": NaN,
|
1092 |
+
"eval_runtime": 16.0436,
|
1093 |
+
"eval_samples_per_second": 15.894,
|
1094 |
+
"eval_steps_per_second": 1.995,
|
1095 |
"step": 6144
|
1096 |
},
|
1097 |
{
|
|
|
1106 |
"eval_accuracy_biofilm": NaN,
|
1107 |
"eval_iou_background": 0.0,
|
1108 |
"eval_iou_biofilm": 0.0,
|
1109 |
+
"eval_loss": 5.025849895901047e-05,
|
1110 |
"eval_mean_accuracy": NaN,
|
1111 |
"eval_mean_iou": 0.0,
|
1112 |
"eval_overall_accuracy": NaN,
|
1113 |
+
"eval_runtime": 16.404,
|
1114 |
+
"eval_samples_per_second": 15.545,
|
1115 |
+
"eval_steps_per_second": 1.951,
|
1116 |
"step": 6272
|
1117 |
},
|
1118 |
{
|
|
|
1133 |
"eval_accuracy_biofilm": NaN,
|
1134 |
"eval_iou_background": 0.0,
|
1135 |
"eval_iou_biofilm": 0.0,
|
1136 |
+
"eval_loss": 3.548805398168042e-05,
|
1137 |
"eval_mean_accuracy": NaN,
|
1138 |
"eval_mean_iou": 0.0,
|
1139 |
"eval_overall_accuracy": NaN,
|
1140 |
+
"eval_runtime": 16.1376,
|
1141 |
+
"eval_samples_per_second": 15.802,
|
1142 |
+
"eval_steps_per_second": 1.983,
|
1143 |
"step": 6400
|
1144 |
},
|
1145 |
{
|
|
|
1154 |
"eval_accuracy_biofilm": NaN,
|
1155 |
"eval_iou_background": 0.0,
|
1156 |
"eval_iou_biofilm": 0.0,
|
1157 |
+
"eval_loss": 4.2479063267819583e-05,
|
1158 |
"eval_mean_accuracy": NaN,
|
1159 |
"eval_mean_iou": 0.0,
|
1160 |
"eval_overall_accuracy": NaN,
|
1161 |
+
"eval_runtime": 15.8147,
|
1162 |
+
"eval_samples_per_second": 16.124,
|
1163 |
+
"eval_steps_per_second": 2.023,
|
1164 |
"step": 6528
|
1165 |
},
|
1166 |
{
|
|
|
1175 |
"eval_accuracy_biofilm": NaN,
|
1176 |
"eval_iou_background": 0.0,
|
1177 |
"eval_iou_biofilm": 0.0,
|
1178 |
+
"eval_loss": 4.7076446207938716e-05,
|
1179 |
"eval_mean_accuracy": NaN,
|
1180 |
"eval_mean_iou": 0.0,
|
1181 |
"eval_overall_accuracy": NaN,
|
1182 |
+
"eval_runtime": 15.822,
|
1183 |
+
"eval_samples_per_second": 16.117,
|
1184 |
+
"eval_steps_per_second": 2.022,
|
1185 |
"step": 6656
|
1186 |
},
|
1187 |
{
|
|
|
1196 |
"eval_accuracy_biofilm": NaN,
|
1197 |
"eval_iou_background": 0.0,
|
1198 |
"eval_iou_biofilm": 0.0,
|
1199 |
+
"eval_loss": 3.908340659108944e-05,
|
1200 |
"eval_mean_accuracy": NaN,
|
1201 |
"eval_mean_iou": 0.0,
|
1202 |
"eval_overall_accuracy": NaN,
|
1203 |
+
"eval_runtime": 16.228,
|
1204 |
+
"eval_samples_per_second": 15.714,
|
1205 |
+
"eval_steps_per_second": 1.972,
|
1206 |
"step": 6784
|
1207 |
},
|
1208 |
{
|
|
|
1223 |
"eval_accuracy_biofilm": NaN,
|
1224 |
"eval_iou_background": 0.0,
|
1225 |
"eval_iou_biofilm": 0.0,
|
1226 |
+
"eval_loss": 4.606060610967688e-05,
|
1227 |
"eval_mean_accuracy": NaN,
|
1228 |
"eval_mean_iou": 0.0,
|
1229 |
"eval_overall_accuracy": NaN,
|
1230 |
+
"eval_runtime": 15.9689,
|
1231 |
+
"eval_samples_per_second": 15.969,
|
1232 |
+
"eval_steps_per_second": 2.004,
|
1233 |
"step": 6912
|
1234 |
},
|
1235 |
{
|
|
|
1244 |
"eval_accuracy_biofilm": NaN,
|
1245 |
"eval_iou_background": 0.0,
|
1246 |
"eval_iou_biofilm": 0.0,
|
1247 |
+
"eval_loss": 5.5501113820355386e-05,
|
1248 |
"eval_mean_accuracy": NaN,
|
1249 |
"eval_mean_iou": 0.0,
|
1250 |
"eval_overall_accuracy": NaN,
|
1251 |
+
"eval_runtime": 15.8826,
|
1252 |
+
"eval_samples_per_second": 16.055,
|
1253 |
+
"eval_steps_per_second": 2.015,
|
1254 |
"step": 7040
|
1255 |
},
|
1256 |
{
|
|
|
1265 |
"eval_accuracy_biofilm": NaN,
|
1266 |
"eval_iou_background": 0.0,
|
1267 |
"eval_iou_biofilm": 0.0,
|
1268 |
+
"eval_loss": 5.016894283471629e-05,
|
1269 |
"eval_mean_accuracy": NaN,
|
1270 |
"eval_mean_iou": 0.0,
|
1271 |
"eval_overall_accuracy": NaN,
|
1272 |
+
"eval_runtime": 16.483,
|
1273 |
+
"eval_samples_per_second": 15.471,
|
1274 |
+
"eval_steps_per_second": 1.941,
|
1275 |
"step": 7168
|
1276 |
},
|
1277 |
{
|
|
|
1286 |
"eval_accuracy_biofilm": NaN,
|
1287 |
"eval_iou_background": 0.0,
|
1288 |
"eval_iou_biofilm": 0.0,
|
1289 |
+
"eval_loss": 3.704185292008333e-05,
|
1290 |
"eval_mean_accuracy": NaN,
|
1291 |
"eval_mean_iou": 0.0,
|
1292 |
"eval_overall_accuracy": NaN,
|
1293 |
+
"eval_runtime": 16.0761,
|
1294 |
+
"eval_samples_per_second": 15.862,
|
1295 |
+
"eval_steps_per_second": 1.991,
|
1296 |
"step": 7296
|
1297 |
},
|
1298 |
{
|
|
|
1313 |
"eval_accuracy_biofilm": NaN,
|
1314 |
"eval_iou_background": 0.0,
|
1315 |
"eval_iou_biofilm": 0.0,
|
1316 |
+
"eval_loss": 0.00012150441762059927,
|
1317 |
"eval_mean_accuracy": NaN,
|
1318 |
"eval_mean_iou": 0.0,
|
1319 |
"eval_overall_accuracy": NaN,
|
1320 |
+
"eval_runtime": 16.2346,
|
1321 |
+
"eval_samples_per_second": 15.707,
|
1322 |
+
"eval_steps_per_second": 1.971,
|
1323 |
"step": 7424
|
1324 |
},
|
1325 |
{
|
|
|
1334 |
"eval_accuracy_biofilm": NaN,
|
1335 |
"eval_iou_background": 0.0,
|
1336 |
"eval_iou_biofilm": 0.0,
|
1337 |
+
"eval_loss": 5.7381228543818e-05,
|
1338 |
"eval_mean_accuracy": NaN,
|
1339 |
"eval_mean_iou": 0.0,
|
1340 |
"eval_overall_accuracy": NaN,
|
1341 |
+
"eval_runtime": 15.8593,
|
1342 |
+
"eval_samples_per_second": 16.079,
|
1343 |
+
"eval_steps_per_second": 2.018,
|
1344 |
"step": 7552
|
1345 |
},
|
1346 |
{
|
|
|
1355 |
"eval_accuracy_biofilm": NaN,
|
1356 |
"eval_iou_background": 0.0,
|
1357 |
"eval_iou_biofilm": 0.0,
|
1358 |
+
"eval_loss": 2.416530878690537e-05,
|
1359 |
"eval_mean_accuracy": NaN,
|
1360 |
"eval_mean_iou": 0.0,
|
1361 |
"eval_overall_accuracy": NaN,
|
1362 |
+
"eval_runtime": 16.3564,
|
1363 |
+
"eval_samples_per_second": 15.59,
|
1364 |
+
"eval_steps_per_second": 1.956,
|
1365 |
"step": 7680
|
1366 |
},
|
1367 |
{
|
|
|
1382 |
"eval_accuracy_biofilm": NaN,
|
1383 |
"eval_iou_background": 0.0,
|
1384 |
"eval_iou_biofilm": 0.0,
|
1385 |
+
"eval_loss": 4.28408820880577e-05,
|
1386 |
"eval_mean_accuracy": NaN,
|
1387 |
"eval_mean_iou": 0.0,
|
1388 |
"eval_overall_accuracy": NaN,
|
1389 |
+
"eval_runtime": 16.1428,
|
1390 |
+
"eval_samples_per_second": 15.797,
|
1391 |
+
"eval_steps_per_second": 1.982,
|
1392 |
"step": 7808
|
1393 |
},
|
1394 |
{
|
|
|
1403 |
"eval_accuracy_biofilm": NaN,
|
1404 |
"eval_iou_background": 0.0,
|
1405 |
"eval_iou_biofilm": 0.0,
|
1406 |
+
"eval_loss": 0.003948688507080078,
|
1407 |
"eval_mean_accuracy": NaN,
|
1408 |
"eval_mean_iou": 0.0,
|
1409 |
"eval_overall_accuracy": NaN,
|
1410 |
+
"eval_runtime": 16.6562,
|
1411 |
+
"eval_samples_per_second": 15.31,
|
1412 |
+
"eval_steps_per_second": 1.921,
|
1413 |
"step": 7936
|
1414 |
},
|
1415 |
{
|
1416 |
"epoch": 62.5,
|
1417 |
"learning_rate": 1.2079999999999998e-05,
|
1418 |
+
"loss": 0.0003,
|
1419 |
"step": 8000
|
1420 |
},
|
1421 |
{
|
|
|
1424 |
"eval_accuracy_biofilm": NaN,
|
1425 |
"eval_iou_background": 0.0,
|
1426 |
"eval_iou_biofilm": 0.0,
|
1427 |
+
"eval_loss": 1.7740510884323157e-05,
|
1428 |
"eval_mean_accuracy": NaN,
|
1429 |
"eval_mean_iou": 0.0,
|
1430 |
"eval_overall_accuracy": NaN,
|
1431 |
+
"eval_runtime": 16.9255,
|
1432 |
+
"eval_samples_per_second": 15.066,
|
1433 |
+
"eval_steps_per_second": 1.891,
|
1434 |
"step": 8064
|
1435 |
},
|
1436 |
{
|
1437 |
"epoch": 63.28,
|
1438 |
"learning_rate": 1.1480999999999997e-05,
|
1439 |
+
"loss": 0.0001,
|
1440 |
"step": 8100
|
1441 |
},
|
1442 |
{
|
|
|
1445 |
"eval_accuracy_biofilm": NaN,
|
1446 |
"eval_iou_background": 0.0,
|
1447 |
"eval_iou_biofilm": 0.0,
|
1448 |
+
"eval_loss": 4.370777969597839e-05,
|
1449 |
"eval_mean_accuracy": NaN,
|
1450 |
"eval_mean_iou": 0.0,
|
1451 |
"eval_overall_accuracy": NaN,
|
1452 |
+
"eval_runtime": 16.1497,
|
1453 |
+
"eval_samples_per_second": 15.79,
|
1454 |
+
"eval_steps_per_second": 1.981,
|
1455 |
"step": 8192
|
1456 |
},
|
1457 |
{
|
1458 |
"epoch": 64.06,
|
1459 |
"learning_rate": 1.0882000000000004e-05,
|
1460 |
+
"loss": 0.0001,
|
1461 |
"step": 8200
|
1462 |
},
|
1463 |
{
|
|
|
1472 |
"eval_accuracy_biofilm": NaN,
|
1473 |
"eval_iou_background": 0.0,
|
1474 |
"eval_iou_biofilm": 0.0,
|
1475 |
+
"eval_loss": 4.968892244505696e-05,
|
1476 |
"eval_mean_accuracy": NaN,
|
1477 |
"eval_mean_iou": 0.0,
|
1478 |
"eval_overall_accuracy": NaN,
|
1479 |
+
"eval_runtime": 16.5144,
|
1480 |
+
"eval_samples_per_second": 15.441,
|
1481 |
+
"eval_steps_per_second": 1.938,
|
1482 |
"step": 8320
|
1483 |
},
|
1484 |
{
|
1485 |
"epoch": 65.62,
|
1486 |
"learning_rate": 9.684000000000002e-06,
|
1487 |
+
"loss": 0.0001,
|
1488 |
"step": 8400
|
1489 |
},
|
1490 |
{
|
|
|
1493 |
"eval_accuracy_biofilm": NaN,
|
1494 |
"eval_iou_background": 0.0,
|
1495 |
"eval_iou_biofilm": 0.0,
|
1496 |
+
"eval_loss": 0.00010618730448186398,
|
1497 |
"eval_mean_accuracy": NaN,
|
1498 |
"eval_mean_iou": 0.0,
|
1499 |
"eval_overall_accuracy": NaN,
|
1500 |
+
"eval_runtime": 16.1111,
|
1501 |
+
"eval_samples_per_second": 15.828,
|
1502 |
+
"eval_steps_per_second": 1.986,
|
1503 |
"step": 8448
|
1504 |
},
|
1505 |
{
|
1506 |
"epoch": 66.41,
|
1507 |
"learning_rate": 9.085000000000002e-06,
|
1508 |
+
"loss": 0.0001,
|
1509 |
"step": 8500
|
1510 |
},
|
1511 |
{
|
|
|
1514 |
"eval_accuracy_biofilm": NaN,
|
1515 |
"eval_iou_background": 0.0,
|
1516 |
"eval_iou_biofilm": 0.0,
|
1517 |
+
"eval_loss": 0.0001003771394607611,
|
1518 |
"eval_mean_accuracy": NaN,
|
1519 |
"eval_mean_iou": 0.0,
|
1520 |
"eval_overall_accuracy": NaN,
|
1521 |
+
"eval_runtime": 16.1723,
|
1522 |
+
"eval_samples_per_second": 15.768,
|
1523 |
+
"eval_steps_per_second": 1.979,
|
1524 |
"step": 8576
|
1525 |
},
|
1526 |
{
|
1527 |
"epoch": 67.19,
|
1528 |
"learning_rate": 8.486000000000001e-06,
|
1529 |
+
"loss": 0.0001,
|
1530 |
"step": 8600
|
1531 |
},
|
1532 |
{
|
1533 |
"epoch": 67.97,
|
1534 |
"learning_rate": 7.887000000000001e-06,
|
1535 |
+
"loss": 0.0001,
|
1536 |
"step": 8700
|
1537 |
},
|
1538 |
{
|
|
|
1541 |
"eval_accuracy_biofilm": NaN,
|
1542 |
"eval_iou_background": 0.0,
|
1543 |
"eval_iou_biofilm": 0.0,
|
1544 |
+
"eval_loss": 0.00011970348714385182,
|
1545 |
"eval_mean_accuracy": NaN,
|
1546 |
"eval_mean_iou": 0.0,
|
1547 |
"eval_overall_accuracy": NaN,
|
1548 |
+
"eval_runtime": 16.1967,
|
1549 |
+
"eval_samples_per_second": 15.744,
|
1550 |
+
"eval_steps_per_second": 1.976,
|
1551 |
"step": 8704
|
1552 |
},
|
1553 |
{
|
1554 |
"epoch": 68.75,
|
1555 |
"learning_rate": 7.2879999999999995e-06,
|
1556 |
+
"loss": 0.0001,
|
1557 |
"step": 8800
|
1558 |
},
|
1559 |
{
|
|
|
1562 |
"eval_accuracy_biofilm": NaN,
|
1563 |
"eval_iou_background": 0.0,
|
1564 |
"eval_iou_biofilm": 0.0,
|
1565 |
+
"eval_loss": 9.807077731238678e-05,
|
1566 |
"eval_mean_accuracy": NaN,
|
1567 |
"eval_mean_iou": 0.0,
|
1568 |
"eval_overall_accuracy": NaN,
|
1569 |
+
"eval_runtime": 16.063,
|
1570 |
+
"eval_samples_per_second": 15.875,
|
1571 |
+
"eval_steps_per_second": 1.992,
|
1572 |
"step": 8832
|
1573 |
},
|
1574 |
{
|
1575 |
"epoch": 69.53,
|
1576 |
"learning_rate": 6.688999999999999e-06,
|
1577 |
+
"loss": 0.0001,
|
1578 |
"step": 8900
|
1579 |
},
|
1580 |
{
|
|
|
1583 |
"eval_accuracy_biofilm": NaN,
|
1584 |
"eval_iou_background": 0.0,
|
1585 |
"eval_iou_biofilm": 0.0,
|
1586 |
+
"eval_loss": 0.00015962646284606308,
|
1587 |
"eval_mean_accuracy": NaN,
|
1588 |
"eval_mean_iou": 0.0,
|
1589 |
"eval_overall_accuracy": NaN,
|
1590 |
+
"eval_runtime": 16.1453,
|
1591 |
+
"eval_samples_per_second": 15.794,
|
1592 |
+
"eval_steps_per_second": 1.982,
|
1593 |
"step": 8960
|
1594 |
},
|
1595 |
{
|
|
|
1604 |
"eval_accuracy_biofilm": NaN,
|
1605 |
"eval_iou_background": 0.0,
|
1606 |
"eval_iou_biofilm": 0.0,
|
1607 |
+
"eval_loss": 0.0001827928062994033,
|
1608 |
"eval_mean_accuracy": NaN,
|
1609 |
"eval_mean_iou": 0.0,
|
1610 |
"eval_overall_accuracy": NaN,
|
1611 |
+
"eval_runtime": 16.2892,
|
1612 |
+
"eval_samples_per_second": 15.655,
|
1613 |
+
"eval_steps_per_second": 1.964,
|
1614 |
"step": 9088
|
1615 |
},
|
1616 |
{
|
1617 |
"epoch": 71.09,
|
1618 |
"learning_rate": 5.490999999999998e-06,
|
1619 |
+
"loss": 0.0001,
|
1620 |
"step": 9100
|
1621 |
},
|
1622 |
{
|
|
|
1631 |
"eval_accuracy_biofilm": NaN,
|
1632 |
"eval_iou_background": 0.0,
|
1633 |
"eval_iou_biofilm": 0.0,
|
1634 |
+
"eval_loss": 0.00017933936032932252,
|
1635 |
"eval_mean_accuracy": NaN,
|
1636 |
"eval_mean_iou": 0.0,
|
1637 |
"eval_overall_accuracy": NaN,
|
1638 |
+
"eval_runtime": 16.2225,
|
1639 |
+
"eval_samples_per_second": 15.719,
|
1640 |
+
"eval_steps_per_second": 1.973,
|
1641 |
"step": 9216
|
1642 |
},
|
1643 |
{
|
|
|
1652 |
"eval_accuracy_biofilm": NaN,
|
1653 |
"eval_iou_background": 0.0,
|
1654 |
"eval_iou_biofilm": 0.0,
|
1655 |
+
"eval_loss": 0.00017253414262086153,
|
1656 |
"eval_mean_accuracy": NaN,
|
1657 |
"eval_mean_iou": 0.0,
|
1658 |
"eval_overall_accuracy": NaN,
|
1659 |
+
"eval_runtime": 16.3265,
|
1660 |
+
"eval_samples_per_second": 15.619,
|
1661 |
+
"eval_steps_per_second": 1.96,
|
1662 |
"step": 9344
|
1663 |
},
|
1664 |
{
|
1665 |
"epoch": 73.44,
|
1666 |
"learning_rate": 3.694000000000003e-06,
|
1667 |
+
"loss": 0.0001,
|
1668 |
"step": 9400
|
1669 |
},
|
1670 |
{
|
|
|
1673 |
"eval_accuracy_biofilm": NaN,
|
1674 |
"eval_iou_background": 0.0,
|
1675 |
"eval_iou_biofilm": 0.0,
|
1676 |
+
"eval_loss": 0.00018817743693944067,
|
1677 |
"eval_mean_accuracy": NaN,
|
1678 |
"eval_mean_iou": 0.0,
|
1679 |
"eval_overall_accuracy": NaN,
|
1680 |
+
"eval_runtime": 16.2573,
|
1681 |
+
"eval_samples_per_second": 15.685,
|
1682 |
+
"eval_steps_per_second": 1.968,
|
1683 |
"step": 9472
|
1684 |
},
|
1685 |
{
|
1686 |
"epoch": 74.22,
|
1687 |
"learning_rate": 3.0950000000000026e-06,
|
1688 |
+
"loss": 0.0001,
|
1689 |
"step": 9500
|
1690 |
},
|
1691 |
{
|
|
|
1700 |
"eval_accuracy_biofilm": NaN,
|
1701 |
"eval_iou_background": 0.0,
|
1702 |
"eval_iou_biofilm": 0.0,
|
1703 |
+
"eval_loss": 0.00023174476518761367,
|
1704 |
"eval_mean_accuracy": NaN,
|
1705 |
"eval_mean_iou": 0.0,
|
1706 |
"eval_overall_accuracy": NaN,
|
1707 |
+
"eval_runtime": 16.4787,
|
1708 |
+
"eval_samples_per_second": 15.475,
|
1709 |
+
"eval_steps_per_second": 1.942,
|
1710 |
"step": 9600
|
1711 |
},
|
1712 |
{
|
1713 |
"epoch": 75.78,
|
1714 |
"learning_rate": 1.8970000000000013e-06,
|
1715 |
+
"loss": 0.0001,
|
1716 |
"step": 9700
|
1717 |
},
|
1718 |
{
|
|
|
1721 |
"eval_accuracy_biofilm": NaN,
|
1722 |
"eval_iou_background": 0.0,
|
1723 |
"eval_iou_biofilm": 0.0,
|
1724 |
+
"eval_loss": 0.00028139527421444654,
|
1725 |
"eval_mean_accuracy": NaN,
|
1726 |
"eval_mean_iou": 0.0,
|
1727 |
"eval_overall_accuracy": NaN,
|
1728 |
+
"eval_runtime": 16.4151,
|
1729 |
+
"eval_samples_per_second": 15.535,
|
1730 |
+
"eval_steps_per_second": 1.949,
|
1731 |
"step": 9728
|
1732 |
},
|
1733 |
{
|
1734 |
"epoch": 76.56,
|
1735 |
"learning_rate": 1.298000000000001e-06,
|
1736 |
+
"loss": 0.0001,
|
1737 |
"step": 9800
|
1738 |
},
|
1739 |
{
|
|
|
1742 |
"eval_accuracy_biofilm": NaN,
|
1743 |
"eval_iou_background": 0.0,
|
1744 |
"eval_iou_biofilm": 0.0,
|
1745 |
+
"eval_loss": 0.00031611151644028723,
|
1746 |
"eval_mean_accuracy": NaN,
|
1747 |
"eval_mean_iou": 0.0,
|
1748 |
"eval_overall_accuracy": NaN,
|
1749 |
+
"eval_runtime": 16.3965,
|
1750 |
+
"eval_samples_per_second": 15.552,
|
1751 |
+
"eval_steps_per_second": 1.952,
|
1752 |
"step": 9856
|
1753 |
},
|
1754 |
{
|
|
|
1763 |
"eval_accuracy_biofilm": NaN,
|
1764 |
"eval_iou_background": 0.0,
|
1765 |
"eval_iou_biofilm": 0.0,
|
1766 |
+
"eval_loss": 0.00030967622296884656,
|
1767 |
"eval_mean_accuracy": NaN,
|
1768 |
"eval_mean_iou": 0.0,
|
1769 |
"eval_overall_accuracy": NaN,
|
1770 |
+
"eval_runtime": 16.3033,
|
1771 |
+
"eval_samples_per_second": 15.641,
|
1772 |
+
"eval_steps_per_second": 1.963,
|
1773 |
"step": 9984
|
1774 |
},
|
1775 |
{
|
1776 |
"epoch": 78.12,
|
1777 |
"learning_rate": 1e-07,
|
1778 |
+
"loss": 0.0001,
|
1779 |
"step": 10000
|
1780 |
},
|
1781 |
{
|
|
|
1784 |
"eval_accuracy_biofilm": NaN,
|
1785 |
"eval_iou_background": 0.0,
|
1786 |
"eval_iou_biofilm": 0.0,
|
1787 |
+
"eval_loss": 0.0003163300279993564,
|
1788 |
"eval_mean_accuracy": NaN,
|
1789 |
"eval_mean_iou": 0.0,
|
1790 |
"eval_overall_accuracy": NaN,
|
1791 |
+
"eval_runtime": 16.3155,
|
1792 |
+
"eval_samples_per_second": 15.629,
|
1793 |
+
"eval_steps_per_second": 1.961,
|
1794 |
"step": 10000
|
1795 |
},
|
1796 |
{
|
1797 |
"epoch": 78.12,
|
1798 |
"step": 10000,
|
1799 |
"total_flos": 1.3940333585388012e+18,
|
1800 |
+
"train_loss": 0.005610336132813245,
|
1801 |
+
"train_runtime": 9371.2884,
|
1802 |
+
"train_samples_per_second": 8.537,
|
1803 |
+
"train_steps_per_second": 1.067
|
1804 |
}
|
1805 |
],
|
1806 |
"logging_steps": 100,
|