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livinNector
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test-logs3-dataset

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train · 500 rows

id int64 1 500	timestamp stringdate 2025-11-28 16:03:55 2025-11-28 16:04:13	run_name stringclasses 5 values	step int64 0 99	train_loss float64 0 1	val_loss float64 0 1
1	2025-11-28T16:03:55.486130	runs_0	0	0.432624	0.603033
2	2025-11-28T16:03:55.486130	runs_0	1	0.8678	0.883793
3	2025-11-28T16:03:55.486130	runs_0	2	0.630496	0.337883
4	2025-11-28T16:03:55.486130	runs_0	3	0.589774	0.171888
5	2025-11-28T16:03:55.486130	runs_0	4	0.604712	0.822491
6	2025-11-28T16:03:55.486130	runs_0	5	0.020025	0.836312
7	2025-11-28T16:03:55.486130	runs_0	6	0.614213	0.68049
8	2025-11-28T16:03:55.486130	runs_0	7	0.267275	0.438237
9	2025-11-28T16:03:55.486130	runs_0	8	0.270295	0.885831
10	2025-11-28T16:03:55.486130	runs_0	9	0.930394	0.441952
11	2025-11-28T16:03:55.486130	runs_0	10	0.944694	0.892778
12	2025-11-28T16:03:55.486130	runs_0	11	0.533128	0.731795
13	2025-11-28T16:03:55.486130	runs_0	12	0.59354	0.759632
14	2025-11-28T16:03:55.486130	runs_0	13	0.615473	0.945658
15	2025-11-28T16:03:55.486130	runs_0	14	0.278631	0.551007
16	2025-11-28T16:03:55.486130	runs_0	15	0.576715	0.522435
17	2025-11-28T16:03:55.486130	runs_0	16	0.510134	0.652407
18	2025-11-28T16:03:55.486130	runs_0	17	0.956984	0.12308
19	2025-11-28T16:03:55.486130	runs_0	18	0.234005	0.57373
20	2025-11-28T16:03:55.486130	runs_0	19	0.683797	0.158635
21	2025-11-28T16:03:55.486130	runs_0	20	0.454866	0.555867
22	2025-11-28T16:03:55.486130	runs_0	21	0.485471	0.940015
23	2025-11-28T16:03:55.486130	runs_0	22	0.749804	0.818191
24	2025-11-28T16:03:55.486130	runs_0	23	0.025789	0.097728
25	2025-11-28T16:03:55.486130	runs_0	24	0.867688	0.005986
26	2025-11-28T16:03:55.486130	runs_0	25	0.98882	0.983567
27	2025-11-28T16:03:55.486130	runs_0	26	0.722969	0.670089
28	2025-11-28T16:03:55.486130	runs_0	27	0.535546	0.626846
29	2025-11-28T16:03:55.486130	runs_0	28	0.451067	0.342308
30	2025-11-28T16:03:55.486130	runs_0	29	0.964966	0.62247
31	2025-11-28T16:03:55.486130	runs_0	30	0.842717	0.624965
32	2025-11-28T16:03:55.486130	runs_0	31	0.983684	0.076793
33	2025-11-28T16:03:55.486130	runs_0	32	0.156903	0.615376
34	2025-11-28T16:03:55.486130	runs_0	33	0.482285	0.83564
35	2025-11-28T16:03:55.486130	runs_0	34	0.456314	0.851652
36	2025-11-28T16:03:55.486130	runs_0	35	0.474891	0.879026
37	2025-11-28T16:03:55.486130	runs_0	36	0.482525	0.467912
38	2025-11-28T16:03:55.486130	runs_0	37	0.713091	0.216834
39	2025-11-28T16:03:55.486130	runs_0	38	0.169746	0.663897
40	2025-11-28T16:03:55.486130	runs_0	39	0.198354	0.754073
41	2025-11-28T16:03:55.486130	runs_0	40	0.06041	0.959333
42	2025-11-28T16:03:55.486130	runs_0	41	0.09663	0.77375
43	2025-11-28T16:03:55.486130	runs_0	42	0.004127	0.247386
44	2025-11-28T16:03:55.486130	runs_0	43	0.075686	0.144281
45	2025-11-28T16:03:55.486130	runs_0	44	0.65615	0.082632
46	2025-11-28T16:03:55.486130	runs_0	45	0.327504	0.353492
47	2025-11-28T16:03:55.486130	runs_0	46	0.696197	0.232034
48	2025-11-28T16:03:55.486130	runs_0	47	0.397903	0.468213
49	2025-11-28T16:03:55.486130	runs_0	48	0.237795	0.326035
50	2025-11-28T16:03:55.486130	runs_0	49	0.234164	0.277907
51	2025-11-28T16:03:55.486130	runs_0	50	0.646578	0.881449
52	2025-11-28T16:03:55.486130	runs_0	51	0.082808	0.963303
53	2025-11-28T16:03:55.486130	runs_0	52	0.76285	0.198645
54	2025-11-28T16:03:55.486130	runs_0	53	0.154954	0.448931
55	2025-11-28T16:03:55.486130	runs_0	54	0.412566	0.582914
56	2025-11-28T16:03:55.486130	runs_0	55	0.847126	0.85183
57	2025-11-28T16:03:55.486130	runs_0	56	0.458918	0.439074
58	2025-11-28T16:03:55.486130	runs_0	57	0.608552	0.519071
59	2025-11-28T16:03:55.486130	runs_0	58	0.295456	0.705842
60	2025-11-28T16:03:55.486130	runs_0	59	0.260018	0.972128
61	2025-11-28T16:03:55.486130	runs_0	60	0.470938	0.86008
62	2025-11-28T16:03:55.486130	runs_0	61	0.305103	0.131702
63	2025-11-28T16:03:55.486130	runs_0	62	0.623585	0.174184
64	2025-11-28T16:03:55.486130	runs_0	63	0.923766	0.698139
65	2025-11-28T16:03:55.486130	runs_0	64	0.311187	0.804448
66	2025-11-28T16:03:55.486130	runs_0	65	0.192293	0.730218
67	2025-11-28T16:03:55.486130	runs_0	66	0.151405	0.789848
68	2025-11-28T16:03:55.486130	runs_0	67	0.734042	0.369013
69	2025-11-28T16:03:55.486130	runs_0	68	0.023856	0.26529
70	2025-11-28T16:03:55.486130	runs_0	69	0.638078	0.162736
71	2025-11-28T16:03:55.486130	runs_0	70	0.180678	0.759183
72	2025-11-28T16:03:55.486130	runs_0	71	0.011096	0.021996
73	2025-11-28T16:03:55.486130	runs_0	72	0.442248	0.396751
74	2025-11-28T16:03:55.486130	runs_0	73	0.845495	0.785615
75	2025-11-28T16:03:55.486130	runs_0	74	0.442274	0.263621
76	2025-11-28T16:03:55.486130	runs_0	75	0.951164	0.176929
77	2025-11-28T16:03:55.486130	runs_0	76	0.920966	0.528946
78	2025-11-28T16:03:55.486130	runs_0	77	0.768278	0.607596
79	2025-11-28T16:03:55.486130	runs_0	78	0.585758	0.961854
80	2025-11-28T16:03:55.486130	runs_0	79	0.507334	0.000529
81	2025-11-28T16:03:55.486130	runs_0	80	0.482987	0.138657
82	2025-11-28T16:03:55.486130	runs_0	81	0.181557	0.050124
83	2025-11-28T16:03:55.486130	runs_0	82	0.512342	0.986732
84	2025-11-28T16:03:55.486130	runs_0	83	0.044668	0.197974
85	2025-11-28T16:03:55.486130	runs_0	84	0.992717	0.245749
86	2025-11-28T16:03:55.486130	runs_0	85	0.042508	0.321265
87	2025-11-28T16:03:55.486130	runs_0	86	0.69657	0.168034
88	2025-11-28T16:03:55.486130	runs_0	87	0.680415	0.250115
89	2025-11-28T16:03:55.486130	runs_0	88	0.150622	0.62811
90	2025-11-28T16:03:55.486130	runs_0	89	0.120609	0.465506
91	2025-11-28T16:03:55.486130	runs_0	90	0.191105	0.388055
92	2025-11-28T16:03:55.486130	runs_0	91	0.53494	0.704048
93	2025-11-28T16:03:55.486130	runs_0	92	0.678157	0.890823
94	2025-11-28T16:03:55.486130	runs_0	93	0.939331	0.506143
95	2025-11-28T16:03:55.486130	runs_0	94	0.492413	0.539166
96	2025-11-28T16:03:55.486130	runs_0	95	0.466341	0.851764
97	2025-11-28T16:03:55.486130	runs_0	96	0.422891	0.611314
98	2025-11-28T16:03:55.486130	runs_0	97	0.181429	0.29583
99	2025-11-28T16:03:55.486130	runs_0	98	0.542392	0.818465
100	2025-11-28T16:03:55.486130	runs_0	99	0.210518	0.026207

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Number of rows:

500