STEMGym / checkpoints /transfer /gan /training_metadata.json
johnpolat's picture
Upload checkpoints/transfer/gan/training_metadata.json with huggingface_hub
8ca7d28 verified
{
"worlds": [
"data/simulated/gan_easy.h5"
],
"phase_worlds": [
"data/simulated/gan_easy.h5"
],
"device": "cuda",
"timestamp": "2026-02-26 23:27:37",
"atom_finder": {
"n_members": 3,
"epochs": 30,
"lr": 0.001,
"n_train": 320,
"n_val": 80,
"train_indices": [
342,
318,
306,
314,
94,
145,
236,
177,
358,
251,
248,
322,
294,
76,
111,
367,
243,
182,
363,
278,
109,
293,
239,
37,
235,
113,
291,
105,
155,
262,
92,
133,
283,
11,
237,
214,
75,
240,
346,
267,
186,
19,
385,
265,
203,
268,
16,
274,
365,
132,
170,
175,
362,
227,
70,
344,
14,
370,
72,
296,
246,
61,
302,
189,
118,
181,
127,
230,
135,
374,
357,
52,
192,
110,
58,
209,
151,
1,
210,
372,
35,
353,
300,
141,
80,
150,
247,
185,
315,
379,
53,
147,
121,
208,
389,
215,
169,
104,
153,
154,
50,
202,
361,
288,
329,
301,
96,
305,
241,
124,
95,
303,
343,
45,
348,
399,
368,
325,
27,
161,
279,
233,
125,
347,
59,
304,
371,
339,
28,
295,
137,
188,
200,
266,
252,
228,
312,
146,
244,
320,
259,
375,
66,
90,
359,
297,
224,
41,
392,
30,
33,
18,
160,
213,
280,
15,
101,
377,
77,
383,
60,
282,
281,
93,
345,
13,
88,
284,
270,
174,
48,
388,
85,
97,
341,
144,
330,
255,
226,
68,
171,
231,
4,
271,
116,
221,
211,
190,
366,
134,
352,
328,
49,
275,
79,
25,
34,
378,
334,
258,
326,
156,
212,
242,
166,
232,
395,
164,
64,
24,
3,
162,
130,
136,
234,
310,
307,
91,
311,
250,
398,
229,
257,
397,
273,
163,
272,
103,
114,
165,
100,
245,
36,
129,
321,
117,
225,
356,
219,
290,
102,
292,
269,
106,
168,
73,
380,
69,
384,
89,
87,
9,
159,
396,
78,
56,
65,
43,
126,
26,
360,
317,
74,
31,
2,
20,
238,
308,
119,
386,
327,
99,
128,
57,
201,
107,
148,
349,
12,
313,
123,
390,
21,
183,
309,
0,
217,
393,
143,
394,
47,
115,
376,
158,
373,
335,
46,
39,
195,
369,
196,
51,
82,
149,
299,
29,
331,
180,
206,
287,
178,
152,
199,
108,
276,
176,
22,
254,
172,
32
],
"val_indices": [
83,
350,
387,
131,
17,
323,
38,
338,
6,
204,
193,
316,
391,
62,
249,
263,
364,
340,
286,
336,
86,
198,
289,
355,
354,
382,
40,
319,
332,
222,
140,
142,
187,
173,
157,
351,
54,
138,
71,
167,
298,
10,
285,
44,
220,
207,
223,
120,
264,
197,
139,
218,
42,
337,
98,
23,
5,
256,
63,
194,
260,
277,
324,
261,
216,
8,
81,
381,
253,
112,
122,
55,
84,
191,
67,
7,
179,
205,
184,
333
],
"loss_curves": {
"member_0": {
"train": [
0.5335281677544117,
0.44972178563475607,
0.4484454609453678,
0.4474132314324379,
0.44705825597047805,
0.44740588739514353,
0.44709576293826103,
0.44678772389888766,
0.446751519292593,
0.4464582107961178,
0.4462456151843071,
0.44585254937410357,
0.4448989048600197,
0.44441042095422745,
0.4441831447184086,
0.4441757440567017,
0.4433345951139927,
0.44320307224988936,
0.44318525344133375,
0.44257148653268813,
0.4424081139266491,
0.442544062435627,
0.44096808433532714,
0.4405651599168777,
0.4404453381896019,
0.4390499494969845,
0.43868330493569374,
0.4388440139591694,
0.4384923927485943,
0.4376791171729565
],
"val": [
0.463712203502655,
0.4466183573007584,
0.44719735383987425,
0.4464824616909027,
0.44784989058971403,
0.44610109329223635,
0.446645587682724,
0.445641303062439,
0.44561791718006133,
0.44724670946598055,
0.4462067037820816,
0.44557733833789825,
0.44438894391059874,
0.4450925201177597,
0.44435804784297944,
0.4442124873399734,
0.4440587073564529,
0.4427149772644043,
0.4432843804359436,
0.4429282933473587,
0.4453506678342819,
0.4432783156633377,
0.44204063415527345,
0.4414551019668579,
0.44094865918159487,
0.44140608608722687,
0.441148641705513,
0.43873814940452577,
0.43968426883220674,
0.4401485025882721
],
"best_val_loss": 0.43873814940452577
},
"member_1": {
"train": [
0.5048044554889202,
0.4481470204889774,
0.44739957973361016,
0.4468060195446014,
0.44667824879288676,
0.4468242458999157,
0.4463110499083996,
0.44646336883306503,
0.4462093263864517,
0.44604077488183974,
0.445589916408062,
0.4446420602500439,
0.4445820294320583,
0.4443666636943817,
0.4438234090805054,
0.44319469630718233,
0.44325469955801966,
0.44228191152215,
0.44295243844389914,
0.4421801470220089,
0.44199658632278443,
0.44088699445128443,
0.44018200412392616,
0.44026354104280474,
0.4396586693823338,
0.4384504668414593,
0.43825626745820045,
0.43826460242271426,
0.4374906197190285,
0.43757483586668966
],
"val": [
0.4516865640878677,
0.44752804934978485,
0.44644637405872345,
0.44598847031593325,
0.44613083004951476,
0.44709729850292207,
0.44558663070201876,
0.44576779305934905,
0.4464032232761383,
0.44632205069065095,
0.4490846753120422,
0.4455466389656067,
0.4450385749340057,
0.4444702357053757,
0.44372741878032684,
0.4440808087587357,
0.44320073127746584,
0.44207783937454226,
0.4426859825849533,
0.4430028349161148,
0.44298686683177946,
0.4418799698352814,
0.44001425206661227,
0.44080595672130585,
0.43940440118312835,
0.43933428823947906,
0.440399968624115,
0.43842407763004304,
0.4385629892349243,
0.43940301835536955
],
"best_val_loss": 0.43842407763004304
},
"member_2": {
"train": [
0.5196541830897331,
0.44919179305434226,
0.4477218367159367,
0.44713294506073,
0.4469709455966949,
0.4469012551009655,
0.44687349498271944,
0.4468149833381176,
0.4467347525060177,
0.44643081203103063,
0.4458393633365631,
0.4457769222557545,
0.44563386887311934,
0.4452547043561935,
0.4446182489395142,
0.44454062804579736,
0.44375336542725563,
0.44432435780763624,
0.4438618801534176,
0.44377889633178713,
0.44263471737504007,
0.44326820224523544,
0.44251358062028884,
0.4419171571731567,
0.44156023785471915,
0.4409734196960926,
0.4403394408524036,
0.44001872688531873,
0.4399836353957653,
0.4390512704849243
],
"val": [
0.45922156870365144,
0.44665431380271914,
0.44620852172374725,
0.44634913504123686,
0.45073111057281495,
0.44582296907901764,
0.4458350479602814,
0.4458199322223663,
0.44539580047130584,
0.4458274066448212,
0.4463506042957306,
0.4454301446676254,
0.44506353735923765,
0.4450048267841339,
0.4454503804445267,
0.44551485776901245,
0.4446829080581665,
0.44436619579792025,
0.4438426196575165,
0.44399010539054873,
0.44365820586681365,
0.44293859899044036,
0.4428073227405548,
0.4431242525577545,
0.44206402599811556,
0.4420472621917725,
0.44032796025276183,
0.44145508110523224,
0.4398869931697845,
0.4404545247554779
],
"best_val_loss": 0.4398869931697845
}
}
},
"defect_classifier": {
"n_patches": 50000,
"n_train": 40000,
"n_val": 10000,
"class_counts": {
"0": 25000,
"2": 25000
},
"epochs": 30,
"lr": 0.001,
"loss_curves": {
"train": [
0.6977131040096283,
0.6757965653419494,
0.6702237344264984,
0.6676851310729981,
0.6658210783481598,
0.6646629683494568,
0.6621101545333863,
0.6604785335063934,
0.6617021414279938,
0.6601065074920655,
0.6578489464759827,
0.6566652320861817,
0.6560398871421814,
0.6547174716472626,
0.6539917921066284,
0.6537081506729125,
0.6539808075904846,
0.6521307239055634,
0.6539851849555969,
0.6529590302944184,
0.6525020052433014,
0.6505185313701629,
0.6501731621265412,
0.6497936947345734,
0.6500444194793701,
0.6485375648021698,
0.6487164165019988,
0.6482324670791626,
0.6476494997501373,
0.647813950252533
],
"val": [
0.679848973274231,
0.6931735863685607,
0.6676239973068238,
0.665569482421875,
0.6691775091171265,
0.6678565363883973,
0.6679724789619446,
0.6607017873764038,
0.6620249613761902,
0.6606490814208984,
0.6599111222267151,
0.6585494902610779,
0.6572058660507202,
0.6558865823745728,
0.6564489477157592,
0.6562975234985352,
0.6571065077781677,
0.6566764882087708,
0.6560566512107849,
0.6571962247848511,
0.6548902493476868,
0.6573112189292908,
0.6561203320503235,
0.652762964630127,
0.655743600654602,
0.6543580510139465,
0.6542541798591613,
0.6522141744613648,
0.654133627986908,
0.6534438052177429
],
"train_acc": [
0.51645,
0.575325,
0.586975,
0.5918,
0.597075,
0.59695,
0.6028,
0.600625,
0.6016,
0.60205,
0.60565,
0.604675,
0.606975,
0.61065,
0.609925,
0.6127,
0.607775,
0.611875,
0.60915,
0.61435,
0.61155,
0.6146,
0.614075,
0.615325,
0.615875,
0.616275,
0.618725,
0.617575,
0.618,
0.61965
],
"val_acc": [
0.5571,
0.5425,
0.5896,
0.5915,
0.596,
0.5922,
0.5928,
0.6066,
0.5952,
0.5917,
0.6032,
0.6015,
0.604,
0.6098,
0.6085,
0.6088,
0.6116,
0.6044,
0.6113,
0.6101,
0.6158,
0.601,
0.6147,
0.6165,
0.6142,
0.6116,
0.6098,
0.6112,
0.6117,
0.6166
]
},
"best_val_loss": 0.6522141744613648
},
"phase_identifier": {
"n_phases": 3,
"n_tiles": 400,
"n_train": 320,
"n_val": 80,
"unique_phases": [
0,
1,
2
],
"epochs": 20,
"lr": 0.001,
"loss_curves": {
"train": [
1.321880742907524,
0.9768825620412827,
0.9229763232171535,
0.9196221485733986,
0.8921668410301209,
0.8249107956886291,
0.8055323824286461,
0.8050469003617764,
0.8465193875133992,
0.8135738857090473,
0.8063781388103962,
0.7503565728664399,
0.7630545929074287,
0.7227252461016178,
0.6863202270120382,
0.7559473611414432,
0.7271347731351853,
0.7020000107586384,
0.6764405697584153,
0.7019206486642361
],
"val": [
1.3787296831607818,
0.8500793159008027,
1.0299125790596009,
0.987103271484375,
1.1671302378177644,
1.5937454283237458,
0.8975724279880524,
1.091126662492752,
0.8229342937469483,
0.9985601425170898,
0.8233592957258224,
1.0791244089603425,
0.681931135058403,
2.2017828226089478,
0.681384727358818,
0.6843391865491867,
0.6927029699087143,
0.9029204070568084,
1.0866872131824494,
0.7925445526838303
]
},
"best_val_loss": 0.681384727358818
},
"total_training_seconds": 177.9
}