Datasets:

ElliotJenkins
/

MLLM_path

lr float64 0 0	data_time float64 0 8.18	loss float64 0 34.9 ⌀	time float64 0.94 10.8	iter int64 10 1k	memory int64 8.78k 15.2k	step int64 10 1k
0.000995	0.003356	2.085049	1.009423	10	8,781	10
0.000977	0.003464	1.460197	0.948822	20	8,781	20
0.000946	0.00353	1.18671	0.955027	30	8,781	30
0.000905	0.489744	0.808781	1.665788	40	8,781	40
0.000852	0.003914	0.414997	0.965303	50	8,781	50
0.000791	0.003745	0.263175	0.95488	60	8,781	60
0.000722	0.003784	0.036081	0.957016	70	8,781	70
0.000647	0.515542	0.059183	1.724025	80	8,781	80
0.000568	0.004086	0.007434	0.953588	90	8,781	90
0.000488	0.004476	0.007206	0.956371	100	8,781	100
0.000408	0.003545	0.010369	0.956684	110	8,781	110
0.00033	0.52386	0.002324	1.628432	120	8,781	120
0.000257	0.00408	0.002193	0.958453	130	8,781	130
0.00019	0.003592	0.006051	0.962926	140	8,781	140
0.000131	0.003949	0.009699	0.964252	150	8,781	150
0.000082	0.593478	0.003594	1.66607	160	8,781	160
0.000043	0.003645	0.003104	0.955642	170	8,781	170
0.000017	0.003578	0.002933	0.957902	180	8,781	180
0.000002	0.003532	0.004549	0.959107	190	8,781	190
0.000995	0.003356	2.085049	1.009423	10	8,781	10
0.000977	0.003464	1.460197	0.948822	20	8,781	20
0.000946	0.00353	1.18671	0.955027	30	8,781	30
0.000905	0.489744	0.808781	1.665788	40	8,781	40
0.000852	0.003914	0.414997	0.965303	50	8,781	50
0.000791	0.003745	0.263175	0.95488	60	8,781	60
0.000722	0.003784	0.036081	0.957016	70	8,781	70
0.000647	0.515542	0.059183	1.724025	80	8,781	80
0.000568	0.004086	0.007434	0.953588	90	8,781	90
0.000488	0.004476	0.007206	0.956371	100	8,781	100
0.000408	0.003545	0.010369	0.956684	110	8,781	110
0.00033	0.52386	0.002324	1.628432	120	8,781	120
0.000257	0.00408	0.002193	0.958453	130	8,781	130
0.00019	0.003592	0.006051	0.962926	140	8,781	140
0.000131	0.003949	0.009699	0.964252	150	8,781	150
0.000082	0.593478	0.003594	1.66607	160	8,781	160
0.000043	0.003645	0.003104	0.955642	170	8,781	170
0.000017	0.003578	0.002933	0.957902	180	8,781	180
0.000002	0.003532	0.004549	0.959107	190	8,781	190
0.000995	0.003341	3.228025	0.958958	10	8,871	10
0.000977	0.003595	1.444141	0.951326	20	8,871	20
0.000946	0.003518	0.955298	0.951728	30	8,871	30
0.000905	0.586314	0.472256	1.924327	40	8,871	40
0.000852	0.003964	0.21839	0.962717	50	8,871	50
0.000791	0.003576	0.054372	0.958463	60	8,871	60
0.000722	0.003602	0.038544	0.966084	70	8,871	70
0.000647	0.413885	0.019703	2.045594	80	8,871	80
0.000568	0.00369	0.004107	0.965132	90	8,871	90
0.000488	0.003548	0.007816	0.953749	100	8,871	100
0.000408	0.003516	0.002453	0.969071	110	8,871	110
0.00033	0.880088	0.002363	1.893334	120	8,871	120
0.000257	0.003823	0.002147	0.964625	130	8,871	130
0.00019	0.003564	0.001829	0.962563	140	8,871	140
0.000131	0.003756	0.001215	0.963707	150	8,871	150
0.000082	0.72553	0.001159	2.026473	160	8,871	160
0.000043	0.00358	0.00125	0.94262	170	8,871	170
0.000017	0.003448	0.001189	0.961997	180	8,871	180
0.000002	0.003444	0.001096	0.963405	190	8,871	190
0.000995	0.003341	3.228025	0.958958	10	8,871	10
0.000977	0.003595	1.444141	0.951326	20	8,871	20
0.000946	0.003518	0.955298	0.951728	30	8,871	30
0.000905	0.586314	0.472256	1.924327	40	8,871	40
0.000852	0.003964	0.21839	0.962717	50	8,871	50
0.000791	0.003576	0.054372	0.958463	60	8,871	60
0.000722	0.003602	0.038544	0.966084	70	8,871	70
0.000647	0.413885	0.019703	2.045594	80	8,871	80
0.000568	0.00369	0.004107	0.965132	90	8,871	90
0.000488	0.003548	0.007816	0.953749	100	8,871	100
0.000408	0.003516	0.002453	0.969071	110	8,871	110
0.00033	0.880088	0.002363	1.893334	120	8,871	120
0.000257	0.003823	0.002147	0.964625	130	8,871	130
0.00019	0.003564	0.001829	0.962563	140	8,871	140
0.000131	0.003756	0.001215	0.963707	150	8,871	150
0.000082	0.72553	0.001159	2.026473	160	8,871	160
0.000043	0.00358	0.00125	0.94262	170	8,871	170
0.000017	0.003448	0.001189	0.961997	180	8,871	180
0.000002	0.003444	0.001096	0.963405	190	8,871	190
0.000995	0.003646	2.231925	1.035219	10	8,871	10
0.000977	0.003907	1.490903	0.958561	20	8,871	20
0.000946	0.003802	1.076391	0.958381	30	8,871	30
0.000905	0.962546	0.730047	1.973113	40	8,871	40
0.000852	0.004799	0.267533	0.960137	50	8,871	50
0.000791	0.004695	0.049192	0.961082	60	8,871	60
0.000722	0.004564	0.01656	0.958729	70	8,871	70
0.000647	0.528911	0.015051	1.936706	80	8,871	80
0.000568	0.004069	0.006107	0.96997	90	8,871	90
0.000488	0.003958	0.003028	0.962656	100	8,871	100
0.000408	0.004198	0.002845	0.953033	110	8,871	110
0.00033	1.048569	0.001793	2.033027	120	8,871	120
0.000257	0.004008	0.001658	0.961814	130	8,871	130
0.00019	0.00385	0.001029	0.961619	140	8,871	140
0.000131	0.003775	0.000953	0.963672	150	8,871	150
0.000082	0.668279	0.001066	2.031758	160	8,871	160
0.000043	0.003835	0.000936	0.962645	170	8,871	170
0.000017	0.003715	0.001031	0.963753	180	8,871	180
0.000995	0.003646	2.231925	1.035219	10	8,871	10
0.000977	0.003907	1.490903	0.958561	20	8,871	20
0.000946	0.003802	1.076391	0.958381	30	8,871	30
0.000905	0.962546	0.730047	1.973113	40	8,871	40
0.000852	0.004799	0.267533	0.960137	50	8,871	50
0.000791	0.004695	0.049192	0.961082	60	8,871	60

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