STEMGym / checkpoints /transfer /sige /training_metadata.json
johnpolat's picture
Upload checkpoints/transfer/sige/training_metadata.json with huggingface_hub
39f74f3 verified
{
"worlds": [
"data/simulated/sige_gradient_clustered_easy.h5"
],
"phase_worlds": [
"data/simulated/sige_gradient_clustered_easy.h5"
],
"device": "cuda",
"timestamp": "2026-02-26 23:25:05",
"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": [
0.5278220616281033,
0.4607533648610115,
0.4593327507376671,
0.4594771802425385,
0.4587054133415222,
0.45863584503531457,
0.4588274031877518,
0.4582237653434277,
0.45786621496081353,
0.45762991681694987,
0.457815557718277,
0.45729445293545723,
0.45715694427490233,
0.45746958777308466,
0.4576012283563614,
0.45699918642640114
],
"val": [
0.47448693215847015,
0.4533078968524933,
0.45688263773918153,
0.45394706428050996,
0.45348404347896576,
0.45227170288562774,
0.4557696729898453,
0.45199085772037506,
0.45174687206745145,
0.4517906278371811,
0.4524408936500549,
0.4519363671541214,
0.45222437381744385,
0.45193478763103484,
0.45228194892406465,
0.4519444465637207
],
"best_val_loss": 0.45174687206745145
},
"member_1": {
"train": [
0.5369163729250431,
0.46169178932905197,
0.4592184416949749,
0.4590370155870914,
0.45865170657634735,
0.4587723471224308,
0.45866499543190004,
0.4579601429402828,
0.45803734064102175,
0.4578381352126598,
0.4579433582723141,
0.45762323811650274,
0.4576746538281441,
0.4580872103571892,
0.4581077635288239,
0.4584205895662308,
0.45718129724264145,
0.45763124227523805
],
"val": [
0.4665217399597168,
0.45286557674407957,
0.4539921522140503,
0.4792683392763138,
0.4532128632068634,
0.4529163479804993,
0.452854585647583,
0.4525147914886475,
0.45251727998256686,
0.4521366715431213,
0.451945760846138,
0.45263614058494567,
0.45239916145801545,
0.4527961254119873,
0.45279110968112946,
0.4519792914390564,
0.4520172744989395,
0.4529830187559128
],
"best_val_loss": 0.451945760846138
},
"member_2": {
"train": [
0.5379673577845097,
0.46156487837433813,
0.45953448191285134,
0.45929987281560897,
0.4584548182785511,
0.4592964880168438,
0.45856898874044416,
0.4584673523902893,
0.45818364471197126,
0.45813296362757683,
0.4579281874001026,
0.45815441608428953
],
"val": [
0.5023123294115066,
0.4555609136819839,
0.454241669178009,
0.4531122952699661,
0.4525948971509933,
0.4637480050325394,
0.45383386611938475,
0.45612913370132446,
0.4529670774936676,
0.45337274968624114,
0.4529181718826294,
0.45397602021694183
],
"best_val_loss": 0.4525948971509933
}
}
},
"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": [
0.6998610055923462,
0.6942744114398957,
0.6941565073013306,
0.6936755472183228,
0.6936541140556336,
0.6936425709724426,
0.683484174156189,
0.6778550369262696,
0.6771026209831238,
0.6765488360404969,
0.6756213697433472,
0.6753969096660614,
0.6750941631317139,
0.675054444026947,
0.6739883881092071,
0.6744184679508209,
0.6738320758342743,
0.674041321849823,
0.6742678373336792,
0.6735036333084107,
0.6733382683753967,
0.6732509313583374,
0.6728670234203339,
0.6732002499103547,
0.6725657175064087,
0.6738922604560852,
0.6731063112735748
],
"val": [
0.6941226477622986,
0.6938865100860596,
0.6936503340721131,
0.6953147254943848,
0.6934654426574707,
0.6923431276321411,
0.6769362458229065,
0.6782687574386597,
0.6752458472251892,
0.6737852820396424,
0.6751420083999634,
0.673756037902832,
0.674176394367218,
0.6726034938812255,
0.6743405920028687,
0.6731873353004456,
0.6732820108413696,
0.67402777261734,
0.6736686346054077,
0.6717667746543884,
0.6737180335998535,
0.6719711185455323,
0.674212622833252,
0.6728009559631347,
0.673884257698059,
0.6728966332435607,
0.6738331126213074
],
"train_acc": [
0.50225,
0.501975,
0.4967,
0.5057,
0.50375,
0.5037,
0.550325,
0.561475,
0.567975,
0.567675,
0.56705,
0.57115,
0.56855,
0.567875,
0.570975,
0.568775,
0.57255,
0.57165,
0.5706,
0.574175,
0.573275,
0.57355,
0.574625,
0.572425,
0.57525,
0.574075,
0.57405
],
"val_acc": [
0.4993,
0.5007,
0.5007,
0.4993,
0.4993,
0.503,
0.5636,
0.5502,
0.5667,
0.5717,
0.5683,
0.5706,
0.5705,
0.5767,
0.5707,
0.571,
0.5727,
0.5767,
0.5744,
0.5774,
0.5722,
0.5719,
0.568,
0.5689,
0.5747,
0.5748,
0.5701
]
},
"best_val_loss": 0.6717667746543884
},
"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": [
1.0195560581982135,
0.8944286480545998,
0.8303992256522179,
0.8246329769492149,
0.8038737453520298,
0.7688456200063228,
0.7978886850178242,
0.7559267573058606,
0.7477638099342585,
0.7036858394742012,
0.7707572095096111,
0.745950760692358,
0.7362001433968544,
0.7628773704171181,
0.7269166514277459,
0.7356346286833286,
0.7077259793877602,
0.6839570708572864,
0.6018080722540617,
0.6576177895069122
],
"val": [
0.9779221892356873,
0.9788208723068237,
0.8127861261367798,
1.5836485564708709,
0.7373819559812546,
1.4059128284454345,
1.504735392332077,
0.7451114296913147,
0.8705980002880096,
1.8687426805496217,
0.8388272583484649,
0.7122822940349579,
0.8929890096187592,
1.401406455039978,
0.6580413162708283,
0.710663765668869,
0.8172656536102295,
0.6495225340127945,
1.6793940991163254,
1.4350811421871186
]
},
"best_val_loss": 0.6495225340127945
},
"total_training_seconds": 130.9
}