Investigation 80

Dataset: timetravel_insurance
Model: anthropic
Training model: claude-3-5-haiku-20241022
Inference model: gpt-4o-mini
Example count: 3
Patience: 3
Current round: 480
Best round: 8

Rounds

Round	UUID	Started	Completed	Train Acc	Train KT	Val Acc	Val KT	Min Train/Val	Test Acc	Test KT
174	2379d81e-9b1c-47c3-8729-e8320c0dd81d	2025-04-18	2025-04-20 15:22:02+00:00	0.519	0.285	0.400	0.397	0.400	0.700	0.156
1	6fbc643b-b064-4296-9eeb-481117445c46	2025-04-19	2025-04-21 01:22:02+00:00	0.519	0.285	0.400	0.397	0.400	0.700	0.156
175	cffd57bd-3cdb-43fd-aba8-7de4cc61a1f2	2025-04-20	2025-04-20 15:30:31+00:00	0.594	0.227	0.550	0.260	0.550	0.550	0.260
176	3819746a-29d9-4b82-a11e-cf9b4a81ef2b	2025-04-20	2025-04-20 15:42:38+00:00	0.713	0.148	0.700	0.156	0.700	0.550	0.260
177	9c302abc-dad7-4f2c-94e3-632a84a87c56	2025-04-20	2025-04-20 15:58:12+00:00	0.750	0.126	0.750	0.126	0.750	0.650	0.188
178	f7811ec8-d064-442e-a062-5f4c75bae5b6	2025-04-20	2025-04-20 16:11:59+00:00	0.738	0.133	0.700	0.156	0.700	0.600	0.222
179	42aafead-997c-45c1-93a2-108591c800f1	2025-04-20	2025-04-20 16:26:18+00:00	0.769	0.115	0.650	0.188	0.650	0.550	0.260
180	551317ef-ae63-401f-a1fc-fb6f52c1e03e	2025-04-20	2025-04-20 16:40:31+00:00	0.781	0.108	0.800	0.098	0.781	0.550	0.260
181	b4b8ff7d-1dbe-4e54-bfa3-1658274ad6a7	2025-04-20	2025-04-20 16:56:00+00:00	0.825	0.084	0.900	0.047	0.825	0.750	0.126
182	92e7e097-1ae0-483f-a39d-664d78ae960d	2025-04-20	2025-04-20 17:13:01+00:00	0.812	0.091	0.850	0.071	0.812	0.650	0.188
183	46b12838-d3e9-4661-b9e7-6ca693d95e1e	2025-04-20	2025-04-20 17:30:52+00:00	0.725	0.140	0.800	0.098	0.725	0.800	0.098
184	d03398a8-b9fc-4f94-b0cb-b5fda10ba164	2025-04-20	2025-04-20 17:49:21+00:00	0.762	0.119	0.950	0.023	0.762	0.750	0.126
185	630ff536-cf84-402b-bc06-d953257876cc	2025-04-20	2025-04-20 18:05:48+00:00	0.775	0.111	0.700	0.156	0.700	0.600	0.222
186	42c61345-b538-4235-a562-7064f5372ab1	2025-04-20	2025-04-20 18:21:40+00:00	0.781	0.108	0.600	0.222	0.600	0.600	0.222
187	782256fa-6b92-4b67-bf8c-1935827896c5	2025-04-20	2025-04-20 18:35:04+00:00	0.819	0.088	0.900	0.047	0.819	0.750	0.126
188	6638da3f-5bda-4296-b2fd-ea9d2015c3d8	2025-04-20	2025-08-02 09:17:20.976153+00:00	0.787	0.105	0.700	0.156	0.700	0.700	0.156
2	bff185db-f7c2-45c5-a2c9-be4e508f8e3f	2025-04-21	2025-04-21 01:30:31+00:00	0.594	0.227	0.550	0.260	0.550	0.550	0.260
3	6ed3bf82-92f6-4adf-b531-ef8bbb38296d	2025-04-21	2025-04-21 01:42:38+00:00	0.713	0.148	0.700	0.156	0.700	0.550	0.260
4	4d376ae3-b0ee-4842-b49e-7a988ffef004	2025-04-21	2025-04-21 01:58:12+00:00	0.750	0.126	0.750	0.126	0.750	0.650	0.188
5	1a876f0a-9c3b-4a7b-bf6f-880ad8aeae2b	2025-04-21	2025-04-21 02:11:59+00:00	0.738	0.133	0.700	0.156	0.700	0.600	0.222
6	9376bd30-1b57-45d4-8be7-0de3d28213a9	2025-04-21	2025-04-21 02:26:18+00:00	0.769	0.115	0.650	0.188	0.650	0.550	0.260
7	aba4be95-ead4-4d00-9df4-309dcef73982	2025-04-21	2025-04-21 02:40:31+00:00	0.781	0.108	0.800	0.098	0.781	0.550	0.260
8	8c7548ec-614a-476c-8da2-0de0d51d83c6	2025-04-21	2025-04-21 02:56:00+00:00	0.825	0.084	0.900	0.047	0.825	0.750	0.126
9	cc0a03a9-dc20-468e-a4ea-4d3d59464604	2025-04-21	2025-04-21 03:13:01+00:00	0.812	0.091	0.850	0.071	0.812	0.650	0.188
10	b1c0a125-7959-4b0a-a1ba-ec3d4d014e46	2025-04-21	2025-04-21 03:30:52+00:00	0.725	0.140	0.800	0.098	0.725	0.800	0.098
11	ae92b2db-0968-4ee9-a597-0acd6c3afc34	2025-04-21	2025-04-21 03:49:21+00:00	0.762	0.119	0.950	0.023	0.762	0.750	0.126
12	eb4bd33b-525e-4e6c-bee8-34531d9fc2de	2025-04-21	2025-04-21 04:05:48+00:00	0.775	0.111	0.700	0.156	0.700	0.600	0.222
13	e856afdf-d5f9-463b-af71-2230e918de17	2025-04-21	2025-04-21 04:21:40+00:00	0.781	0.108	0.600	0.222	0.600	0.600	0.222
14	b7d22ac0-7242-4174-9dc3-a4fbfadbd0ca	2025-04-21	2025-04-21 04:35:04+00:00	0.819	0.088	0.900	0.047	0.819	0.750	0.126
15	21fb13ed-bb21-461e-97db-5b5fe0f5cd9c	2025-04-21	in progress	n/a	n/a	n/a	n/a	n/a	n/a	n/a
477	9dd06d0a-23c4-4db1-b1ff-9244f3df1e44	2025-08-02	2025-08-02 09:19:56.500858+00:00	0.787	0.105	0.750	0.126	0.750	0.700	0.156
478	e3c62693-cd22-4c45-bd39-5c4cbd6b1d53	2025-08-02	2025-08-02 09:27:13.932065+00:00	0.831	0.081	0.800	0.098	0.800	0.750	0.126

Investigation 80

Rounds

Scores