v2_mistral_lora

This model is a fine-tuned version of peiyi9979/math-shepherd-mistral-7b-prm on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0549
• Accuracy: 0.9783
• Precision: 0.9799
• Recall: 0.9466
• F1: 0.9630

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 765837
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0	0	0.4624	0.8307	0.9495	0.4563	0.6164
0.6147	0.0030	20	0.4628	0.8292	0.9314	0.4612	0.6169
0.5341	0.0059	40	0.4612	0.8278	0.9394	0.4515	0.6098
0.5857	0.0089	60	0.4569	0.8278	0.9485	0.4466	0.6073
0.5562	0.0118	80	0.4473	0.8365	0.9429	0.4806	0.6367
0.5169	0.0148	100	0.4302	0.8596	0.9658	0.5485	0.6997
0.4474	0.0177	120	0.3985	0.8712	0.9209	0.6214	0.7420
0.4423	0.0207	140	0.3567	0.8929	0.9024	0.7184	0.8
0.3734	0.0236	160	0.2948	0.9117	0.9143	0.7767	0.8399
0.3324	0.0266	180	0.2196	0.9363	0.9219	0.8592	0.8894
0.2337	0.0295	200	0.1744	0.9522	0.9391	0.8981	0.9181
0.1528	0.0325	220	0.1573	0.9522	0.9303	0.9078	0.9189
0.3151	0.0354	240	0.1498	0.9551	0.9310	0.9175	0.9242
0.1388	0.0384	260	0.1408	0.9566	0.9314	0.9223	0.9268
0.1405	0.0413	280	0.1342	0.9566	0.9444	0.9078	0.9257
0.093	0.0443	300	0.1380	0.9580	0.9492	0.9078	0.9280
0.1395	0.0472	320	0.1359	0.9580	0.9492	0.9078	0.9280
0.1686	0.0502	340	0.1316	0.9638	0.9689	0.9078	0.9373
0.0542	0.0531	360	0.1270	0.9595	0.9541	0.9078	0.9303
0.131	0.0561	380	0.1170	0.9638	0.9689	0.9078	0.9373
0.1276	0.0590	400	0.1199	0.9624	0.95	0.9223	0.9360
0.0377	0.0620	420	0.1211	0.9609	0.9453	0.9223	0.9337
0.1356	0.0649	440	0.1265	0.9609	0.9497	0.9175	0.9333
0.1409	0.0679	460	0.1059	0.9638	0.9689	0.9078	0.9373
0.0815	0.0708	480	0.1212	0.9624	0.9455	0.9272	0.9363
0.0143	0.0738	500	0.1042	0.9638	0.9641	0.9126	0.9377
0.0877	0.0767	520	0.0976	0.9667	0.9645	0.9223	0.9429
0.1308	0.0797	540	0.1042	0.9624	0.9545	0.9175	0.9356
0.0673	0.0826	560	0.1021	0.9653	0.9740	0.9078	0.9397
0.0763	0.0856	580	0.0967	0.9682	0.9842	0.9078	0.9444
0.0827	0.0885	600	0.0953	0.9711	0.9844	0.9175	0.9497
0.0838	0.0915	620	0.0923	0.9711	0.9794	0.9223	0.95
0.0797	0.0944	640	0.0986	0.9682	0.9510	0.9417	0.9463
0.084	0.0974	660	0.0877	0.9682	0.9792	0.9126	0.9447
0.0091	0.1003	680	0.0856	0.9682	0.9742	0.9175	0.945
0.0832	0.1033	700	0.0913	0.9682	0.9792	0.9126	0.9447
0.0599	0.1062	720	0.0872	0.9696	0.9793	0.9175	0.9474
0.1185	0.1092	740	0.0871	0.9638	0.9788	0.8981	0.9367
0.059	0.1121	760	0.0878	0.9653	0.9740	0.9078	0.9397
0.1429	0.1151	780	0.0868	0.9696	0.9648	0.9320	0.9481
0.0583	0.1180	800	0.0858	0.9696	0.9648	0.9320	0.9481
0.0792	0.1210	820	0.0833	0.9682	0.9694	0.9223	0.9453
0.0746	0.1239	840	0.0772	0.9725	0.9947	0.9126	0.9519
0.0463	0.1269	860	0.0733	0.9725	0.9795	0.9272	0.9526
0.1658	0.1298	880	0.0861	0.9696	0.9894	0.9078	0.9468
0.1177	0.1328	900	0.0815	0.9711	0.9604	0.9417	0.9510
0.0709	0.1357	920	0.0773	0.9696	0.9793	0.9175	0.9474
0.0801	0.1387	940	0.0726	0.9740	0.9845	0.9272	0.955
0.0609	0.1416	960	0.0709	0.9754	0.9797	0.9369	0.9578
0.0865	0.1446	980	0.0696	0.9754	0.9846	0.9320	0.9576
0.0347	0.1475	1000	0.0722	0.9725	0.9698	0.9369	0.9531
0.1003	0.1505	1020	0.0817	0.9653	0.9505	0.9320	0.9412
0.0152	0.1534	1040	0.0774	0.9725	0.9947	0.9126	0.9519
0.0965	0.1564	1060	0.0752	0.9754	0.9896	0.9272	0.9574
0.1153	0.1594	1080	0.0771	0.9740	0.9947	0.9175	0.9545
0.0918	0.1623	1100	0.0798	0.9711	0.9947	0.9078	0.9492
0.0745	0.1653	1120	0.0739	0.9740	0.9796	0.9320	0.9552
0.0426	0.1682	1140	0.0782	0.9725	0.9895	0.9175	0.9521
0.0373	0.1712	1160	0.0795	0.9740	0.9796	0.9320	0.9552
0.0635	0.1741	1180	0.0754	0.9754	0.9846	0.9320	0.9576
0.0733	0.1771	1200	0.0744	0.9768	0.9847	0.9369	0.9602
0.0914	0.1800	1220	0.0765	0.9740	0.9845	0.9272	0.955
0.1249	0.1830	1240	0.0765	0.9725	0.9845	0.9223	0.9524
0.0829	0.1859	1260	0.0715	0.9725	0.9795	0.9272	0.9526
0.1013	0.1889	1280	0.0927	0.9711	0.9947	0.9078	0.9492
0.0697	0.1918	1300	0.0805	0.9725	0.9895	0.9175	0.9521
0.0905	0.1948	1320	0.0773	0.9740	0.9796	0.9320	0.9552
0.0417	0.1977	1340	0.0790	0.9711	0.9844	0.9175	0.9497
0.0541	0.2007	1360	0.0759	0.9740	0.9845	0.9272	0.955
0.0333	0.2036	1380	0.0932	0.9682	0.9946	0.8981	0.9439
0.0933	0.2066	1400	0.0744	0.9740	0.9896	0.9223	0.9548
0.0679	0.2095	1420	0.0702	0.9754	0.9896	0.9272	0.9574
0.0482	0.2125	1440	0.0707	0.9754	0.9846	0.9320	0.9576
0.0408	0.2154	1460	0.0740	0.9768	0.9897	0.9320	0.96
0.0819	0.2184	1480	0.0675	0.9797	0.9898	0.9417	0.9652
0.0622	0.2213	1500	0.0701	0.9754	0.9846	0.9320	0.9576
0.0211	0.2243	1520	0.0649	0.9754	0.9749	0.9417	0.9580
0.0753	0.2272	1540	0.0686	0.9740	0.9747	0.9369	0.9554
0.0839	0.2302	1560	0.0785	0.9754	0.9948	0.9223	0.9572
0.0861	0.2331	1580	0.0811	0.9754	0.9948	0.9223	0.9572
0.0657	0.2361	1600	0.0680	0.9754	0.9846	0.9320	0.9576
0.0693	0.2390	1620	0.0741	0.9740	0.9947	0.9175	0.9545
0.0547	0.2420	1640	0.0713	0.9754	0.9896	0.9272	0.9574
0.0983	0.2449	1660	0.0711	0.9740	0.9896	0.9223	0.9548
0.0599	0.2479	1680	0.0660	0.9740	0.9845	0.9272	0.955
0.1337	0.2508	1700	0.0652	0.9797	0.9848	0.9466	0.9653
0.0401	0.2538	1720	0.0818	0.9754	0.9948	0.9223	0.9572
0.0215	0.2567	1740	0.0677	0.9754	0.9948	0.9223	0.9572
0.1742	0.2597	1760	0.0675	0.9740	0.9947	0.9175	0.9545
0.0445	0.2626	1780	0.0656	0.9754	0.9896	0.9272	0.9574
0.0557	0.2656	1800	0.0699	0.9783	0.9799	0.9466	0.9630
0.0079	0.2685	1820	0.0733	0.9740	0.9947	0.9175	0.9545
0.056	0.2715	1840	0.0709	0.9740	0.9796	0.9320	0.9552
0.0923	0.2744	1860	0.0676	0.9740	0.97	0.9417	0.9557
0.0769	0.2774	1880	0.0715	0.9754	0.9948	0.9223	0.9572
0.1452	0.2803	1900	0.0687	0.9754	0.9896	0.9272	0.9574
0.0938	0.2833	1920	0.0676	0.9754	0.9846	0.9320	0.9576
0.0583	0.2862	1940	0.0698	0.9740	0.9845	0.9272	0.955
0.0937	0.2892	1960	0.0672	0.9768	0.9847	0.9369	0.9602
0.0391	0.2921	1980	0.0675	0.9768	0.9897	0.9320	0.96
0.0536	0.2951	2000	0.0699	0.9725	0.9895	0.9175	0.9521
0.0647	0.2980	2020	0.0723	0.9740	0.9896	0.9223	0.9548
0.0637	0.3010	2040	0.0699	0.9754	0.9655	0.9515	0.9584
0.07	0.3039	2060	0.0656	0.9740	0.9796	0.9320	0.9552
0.0264	0.3069	2080	0.0672	0.9711	0.9895	0.9126	0.9495
0.1048	0.3098	2100	0.0656	0.9783	0.9799	0.9466	0.9630
0.136	0.3128	2120	0.0685	0.9725	0.9947	0.9126	0.9519
0.0833	0.3158	2140	0.0660	0.9768	0.9798	0.9417	0.9604
0.0643	0.3187	2160	0.0696	0.9754	0.9948	0.9223	0.9572
0.032	0.3217	2180	0.0672	0.9754	0.9701	0.9466	0.9582
0.0613	0.3246	2200	0.0658	0.9768	0.975	0.9466	0.9606
0.0755	0.3276	2220	0.0692	0.9783	0.9848	0.9417	0.9628
0.0122	0.3305	2240	0.0724	0.9725	0.9652	0.9417	0.9533
0.0472	0.3335	2260	0.0754	0.9711	0.9947	0.9078	0.9492
0.0404	0.3364	2280	0.0664	0.9768	0.9798	0.9417	0.9604
0.0952	0.3394	2300	0.0807	0.9696	0.9947	0.9029	0.9466
0.0435	0.3423	2320	0.0642	0.9783	0.9799	0.9466	0.9630
0.027	0.3453	2340	0.0664	0.9768	0.9798	0.9417	0.9604
0.075	0.3482	2360	0.0663	0.9754	0.9655	0.9515	0.9584
0.071	0.3512	2380	0.0694	0.9740	0.9845	0.9272	0.955
0.0724	0.3541	2400	0.0716	0.9754	0.9846	0.9320	0.9576
0.0126	0.3571	2420	0.0800	0.9740	0.9947	0.9175	0.9545
0.0611	0.3600	2440	0.0661	0.9797	0.9848	0.9466	0.9653
0.0067	0.3630	2460	0.0671	0.9725	0.9845	0.9223	0.9524
0.0804	0.3659	2480	0.0652	0.9783	0.9799	0.9466	0.9630
0.057	0.3689	2500	0.0716	0.9725	0.9895	0.9175	0.9521
0.0518	0.3718	2520	0.0707	0.9754	0.9846	0.9320	0.9576
0.0533	0.3748	2540	0.0778	0.9711	0.9895	0.9126	0.9495
0.0371	0.3777	2560	0.0714	0.9740	0.9796	0.9320	0.9552
0.1052	0.3807	2580	0.0677	0.9754	0.9896	0.9272	0.9574
0.0384	0.3836	2600	0.0641	0.9783	0.9799	0.9466	0.9630
0.0482	0.3866	2620	0.0643	0.9783	0.9799	0.9466	0.9630
0.0892	0.3895	2640	0.0676	0.9754	0.9896	0.9272	0.9574
0.0999	0.3925	2660	0.0669	0.9768	0.9897	0.9320	0.96
0.055	0.3954	2680	0.0658	0.9754	0.9846	0.9320	0.9576
0.0561	0.3984	2700	0.0656	0.9783	0.9848	0.9417	0.9628
0.0701	0.4013	2720	0.0693	0.9754	0.9948	0.9223	0.9572
0.0307	0.4043	2740	0.0637	0.9754	0.9749	0.9417	0.9580
0.029	0.4072	2760	0.0688	0.9768	0.9847	0.9369	0.9602
0.0687	0.4102	2780	0.0662	0.9754	0.9797	0.9369	0.9578
0.0577	0.4131	2800	0.0669	0.9725	0.9895	0.9175	0.9521
0.0286	0.4161	2820	0.0624	0.9754	0.9749	0.9417	0.9580
0.1144	0.4190	2840	0.0647	0.9783	0.9897	0.9369	0.9626
0.0424	0.4220	2860	0.0620	0.9783	0.9751	0.9515	0.9631
0.1575	0.4249	2880	0.0651	0.9768	0.9897	0.9320	0.96
0.0651	0.4279	2900	0.0620	0.9768	0.9798	0.9417	0.9604
0.1524	0.4308	2920	0.0596	0.9783	0.9799	0.9466	0.9630
0.0547	0.4338	2940	0.0597	0.9783	0.9799	0.9466	0.9630
0.0064	0.4367	2960	0.0604	0.9768	0.9847	0.9369	0.9602
0.075	0.4397	2980	0.0591	0.9754	0.9701	0.9466	0.9582
0.0542	0.4426	3000	0.0661	0.9711	0.9745	0.9272	0.9502
0.0455	0.4456	3020	0.0632	0.9754	0.9749	0.9417	0.9580
0.0152	0.4485	3040	0.0605	0.9797	0.9752	0.9563	0.9657
0.0467	0.4515	3060	0.0646	0.9768	0.9897	0.9320	0.96
0.0418	0.4544	3080	0.0597	0.9754	0.9896	0.9272	0.9574
0.0556	0.4574	3100	0.0622	0.9740	0.9896	0.9223	0.9548
0.0675	0.4603	3120	0.0642	0.9740	0.9608	0.9515	0.9561
0.0227	0.4633	3140	0.0619	0.9740	0.9796	0.9320	0.9552
0.0502	0.4662	3160	0.0622	0.9725	0.9746	0.9320	0.9529
0.0478	0.4692	3180	0.0605	0.9754	0.9749	0.9417	0.9580
0.1021	0.4722	3200	0.0630	0.9768	0.9847	0.9369	0.9602
0.0418	0.4751	3220	0.0615	0.9754	0.9701	0.9466	0.9582
0.0354	0.4781	3240	0.0615	0.9768	0.9798	0.9417	0.9604
0.0575	0.4810	3260	0.0593	0.9768	0.975	0.9466	0.9606
0.0901	0.4840	3280	0.0630	0.9754	0.9846	0.9320	0.9576
0.0166	0.4869	3300	0.0616	0.9783	0.9799	0.9466	0.9630
0.0942	0.4899	3320	0.0612	0.9754	0.9701	0.9466	0.9582
0.1136	0.4928	3340	0.0661	0.9711	0.9697	0.9320	0.9505
0.0865	0.4958	3360	0.0666	0.9696	0.9602	0.9369	0.9484
0.0684	0.4987	3380	0.0617	0.9682	0.9554	0.9369	0.9461
0.0556	0.5017	3400	0.0649	0.9682	0.9554	0.9369	0.9461
0.079	0.5046	3420	0.0640	0.9711	0.9559	0.9466	0.9512
0.0976	0.5076	3440	0.0632	0.9696	0.9602	0.9369	0.9484
0.0756	0.5105	3460	0.0646	0.9711	0.9604	0.9417	0.9510
0.0786	0.5135	3480	0.0651	0.9682	0.9646	0.9272	0.9455
0.0663	0.5164	3500	0.0588	0.9711	0.9559	0.9466	0.9512
0.1079	0.5194	3520	0.0598	0.9754	0.9749	0.9417	0.9580
0.0547	0.5223	3540	0.0573	0.9740	0.9653	0.9466	0.9559
0.0204	0.5253	3560	0.0594	0.9754	0.9701	0.9466	0.9582
0.0595	0.5282	3580	0.0602	0.9754	0.9797	0.9369	0.9578
0.0574	0.5312	3600	0.0604	0.9711	0.9559	0.9466	0.9512
0.0249	0.5341	3620	0.0654	0.9740	0.9796	0.9320	0.9552
0.131	0.5371	3640	0.0596	0.9740	0.9608	0.9515	0.9561
0.0454	0.5400	3660	0.0638	0.9754	0.9846	0.9320	0.9576
0.0219	0.5430	3680	0.0636	0.9768	0.9897	0.9320	0.96
0.0547	0.5459	3700	0.0609	0.9754	0.9701	0.9466	0.9582
0.077	0.5489	3720	0.0585	0.9754	0.9797	0.9369	0.9578
0.0403	0.5518	3740	0.0552	0.9783	0.9799	0.9466	0.9630
0.0228	0.5548	3760	0.0541	0.9797	0.9848	0.9466	0.9653
0.0321	0.5577	3780	0.0533	0.9797	0.9898	0.9417	0.9652
0.0698	0.5607	3800	0.0525	0.9797	0.98	0.9515	0.9655
0.0555	0.5636	3820	0.0535	0.9768	0.9703	0.9515	0.9608
0.0853	0.5666	3840	0.0534	0.9783	0.9799	0.9466	0.9630
0.0385	0.5695	3860	0.0581	0.9783	0.9897	0.9369	0.9626
0.0516	0.5725	3880	0.0552	0.9754	0.9701	0.9466	0.9582
0.0248	0.5754	3900	0.0562	0.9768	0.975	0.9466	0.9606
0.0351	0.5784	3920	0.0617	0.9754	0.9846	0.9320	0.9576
0.0629	0.5813	3940	0.0587	0.9740	0.9747	0.9369	0.9554
0.0564	0.5843	3960	0.0587	0.9740	0.9653	0.9466	0.9559
0.0364	0.5872	3980	0.0596	0.9754	0.9846	0.9320	0.9576
0.0995	0.5902	4000	0.0603	0.9768	0.9897	0.9320	0.96
0.0686	0.5931	4020	0.0582	0.9754	0.9749	0.9417	0.9580
0.0269	0.5961	4040	0.0625	0.9768	0.9897	0.9320	0.96
0.0478	0.5990	4060	0.0588	0.9754	0.9701	0.9466	0.9582
0.0405	0.6020	4080	0.0578	0.9768	0.975	0.9466	0.9606
0.0824	0.6049	4100	0.0560	0.9783	0.9751	0.9515	0.9631
0.008	0.6079	4120	0.0564	0.9797	0.9898	0.9417	0.9652
0.0488	0.6108	4140	0.0543	0.9783	0.9799	0.9466	0.9630
0.0837	0.6138	4160	0.0557	0.9783	0.9799	0.9466	0.9630
0.021	0.6167	4180	0.0585	0.9768	0.975	0.9466	0.9606
0.0661	0.6197	4200	0.0600	0.9754	0.9749	0.9417	0.9580
0.0784	0.6226	4220	0.0593	0.9768	0.9798	0.9417	0.9604
0.0598	0.6256	4240	0.0613	0.9754	0.9749	0.9417	0.9580
0.0856	0.6286	4260	0.0615	0.9783	0.9848	0.9417	0.9628
0.0634	0.6315	4280	0.0583	0.9797	0.98	0.9515	0.9655
0.0396	0.6345	4300	0.0583	0.9783	0.9799	0.9466	0.9630
0.0307	0.6374	4320	0.0595	0.9797	0.9898	0.9417	0.9652
0.0549	0.6404	4340	0.0577	0.9812	0.9898	0.9466	0.9677
0.0647	0.6433	4360	0.0596	0.9783	0.9897	0.9369	0.9626
0.0181	0.6463	4380	0.0586	0.9783	0.9897	0.9369	0.9626
0.0798	0.6492	4400	0.0562	0.9783	0.9799	0.9466	0.9630
0.0386	0.6522	4420	0.0578	0.9797	0.9848	0.9466	0.9653
0.0986	0.6551	4440	0.0601	0.9768	0.9847	0.9369	0.9602
0.0731	0.6581	4460	0.0596	0.9754	0.9846	0.9320	0.9576
0.0269	0.6610	4480	0.0573	0.9754	0.9749	0.9417	0.9580
0.0509	0.6640	4500	0.0589	0.9783	0.9897	0.9369	0.9626
0.0554	0.6669	4520	0.0568	0.9768	0.9798	0.9417	0.9604
0.0536	0.6699	4540	0.0555	0.9783	0.9799	0.9466	0.9630
0.0681	0.6728	4560	0.0562	0.9768	0.9847	0.9369	0.9602
0.0446	0.6758	4580	0.0570	0.9797	0.9848	0.9466	0.9653
0.0238	0.6787	4600	0.0559	0.9797	0.9848	0.9466	0.9653
0.0653	0.6817	4620	0.0548	0.9797	0.9848	0.9466	0.9653
0.05	0.6846	4640	0.0546	0.9812	0.9849	0.9515	0.9679
0.048	0.6876	4660	0.0541	0.9812	0.9849	0.9515	0.9679
0.0746	0.6905	4680	0.0560	0.9797	0.9848	0.9466	0.9653
0.036	0.6935	4700	0.0551	0.9812	0.9849	0.9515	0.9679
0.0498	0.6964	4720	0.0555	0.9812	0.9849	0.9515	0.9679
0.0327	0.6994	4740	0.0603	0.9783	0.9848	0.9417	0.9628
0.0637	0.7023	4760	0.0553	0.9797	0.98	0.9515	0.9655
0.0089	0.7053	4780	0.0611	0.9768	0.9847	0.9369	0.9602
0.0219	0.7082	4800	0.0577	0.9797	0.98	0.9515	0.9655
0.0171	0.7112	4820	0.0562	0.9812	0.9849	0.9515	0.9679
0.0388	0.7141	4840	0.0559	0.9812	0.9849	0.9515	0.9679
0.0057	0.7171	4860	0.0586	0.9768	0.9847	0.9369	0.9602
0.0507	0.7200	4880	0.0592	0.9754	0.9846	0.9320	0.9576
0.0478	0.7230	4900	0.0566	0.9812	0.9849	0.9515	0.9679
0.0949	0.7259	4920	0.0550	0.9812	0.9849	0.9515	0.9679
0.0567	0.7289	4940	0.0558	0.9783	0.9799	0.9466	0.9630
0.025	0.7318	4960	0.0580	0.9768	0.9798	0.9417	0.9604
0.0488	0.7348	4980	0.0612	0.9768	0.9897	0.9320	0.96
0.0313	0.7377	5000	0.0559	0.9797	0.98	0.9515	0.9655
0.0552	0.7407	5020	0.0589	0.9768	0.9847	0.9369	0.9602
0.0579	0.7436	5040	0.0556	0.9826	0.9899	0.9515	0.9703
0.0704	0.7466	5060	0.0551	0.9812	0.9898	0.9466	0.9677
0.0537	0.7495	5080	0.0575	0.9783	0.9897	0.9369	0.9626
0.038	0.7525	5100	0.0577	0.9783	0.9897	0.9369	0.9626
0.1133	0.7554	5120	0.0593	0.9783	0.9897	0.9369	0.9626
0.072	0.7584	5140	0.0575	0.9783	0.9897	0.9369	0.9626
0.0663	0.7613	5160	0.0559	0.9797	0.9898	0.9417	0.9652
0.0416	0.7643	5180	0.0563	0.9783	0.9848	0.9417	0.9628
0.0462	0.7672	5200	0.0577	0.9797	0.9898	0.9417	0.9652
0.0268	0.7702	5220	0.0585	0.9797	0.9898	0.9417	0.9652
0.0406	0.7731	5240	0.0560	0.9768	0.9798	0.9417	0.9604
0.0304	0.7761	5260	0.0592	0.9783	0.9897	0.9369	0.9626
0.0758	0.7790	5280	0.0580	0.9768	0.9847	0.9369	0.9602
0.0623	0.7820	5300	0.0582	0.9768	0.9847	0.9369	0.9602
0.0472	0.7850	5320	0.0586	0.9797	0.9898	0.9417	0.9652
0.0349	0.7879	5340	0.0558	0.9783	0.9848	0.9417	0.9628
0.0311	0.7909	5360	0.0561	0.9812	0.9898	0.9466	0.9677
0.0943	0.7938	5380	0.0580	0.9783	0.9897	0.9369	0.9626
0.0458	0.7968	5400	0.0579	0.9783	0.9848	0.9417	0.9628
0.0744	0.7997	5420	0.0576	0.9797	0.9898	0.9417	0.9652
0.1293	0.8027	5440	0.0562	0.9797	0.9848	0.9466	0.9653
0.0526	0.8056	5460	0.0557	0.9812	0.9898	0.9466	0.9677
0.0609	0.8086	5480	0.0571	0.9812	0.9898	0.9466	0.9677
0.0684	0.8115	5500	0.0583	0.9768	0.9847	0.9369	0.9602
0.0579	0.8145	5520	0.0594	0.9768	0.9847	0.9369	0.9602
0.0728	0.8174	5540	0.0592	0.9783	0.9897	0.9369	0.9626
0.0304	0.8204	5560	0.0592	0.9754	0.9797	0.9369	0.9578
0.0519	0.8233	5580	0.0575	0.9783	0.9799	0.9466	0.9630
0.0091	0.8263	5600	0.0568	0.9797	0.9848	0.9466	0.9653
0.0306	0.8292	5620	0.0574	0.9783	0.9799	0.9466	0.9630
0.0112	0.8322	5640	0.0587	0.9783	0.9897	0.9369	0.9626
0.0214	0.8351	5660	0.0576	0.9797	0.9898	0.9417	0.9652
0.02	0.8381	5680	0.0564	0.9812	0.9898	0.9466	0.9677
0.0866	0.8410	5700	0.0559	0.9797	0.9848	0.9466	0.9653
0.0269	0.8440	5720	0.0576	0.9797	0.9898	0.9417	0.9652
0.0441	0.8469	5740	0.0572	0.9812	0.9898	0.9466	0.9677
0.0413	0.8499	5760	0.0545	0.9797	0.9848	0.9466	0.9653
0.061	0.8528	5780	0.0542	0.9783	0.9799	0.9466	0.9630
0.0699	0.8558	5800	0.0544	0.9783	0.9799	0.9466	0.9630
0.0674	0.8587	5820	0.0548	0.9783	0.9799	0.9466	0.9630
0.0402	0.8617	5840	0.0571	0.9797	0.9848	0.9466	0.9653
0.0226	0.8646	5860	0.0577	0.9783	0.9848	0.9417	0.9628
0.0419	0.8676	5880	0.0577	0.9783	0.9848	0.9417	0.9628
0.089	0.8705	5900	0.0567	0.9797	0.9848	0.9466	0.9653
0.1096	0.8735	5920	0.0562	0.9783	0.9799	0.9466	0.9630
0.0933	0.8764	5940	0.0551	0.9783	0.9799	0.9466	0.9630
0.0482	0.8794	5960	0.0552	0.9783	0.9799	0.9466	0.9630
0.1723	0.8823	5980	0.0557	0.9783	0.9799	0.9466	0.9630
0.0259	0.8853	6000	0.0557	0.9783	0.9799	0.9466	0.9630
0.0291	0.8882	6020	0.0557	0.9783	0.9799	0.9466	0.9630
0.0872	0.8912	6040	0.0560	0.9783	0.9799	0.9466	0.9630
0.0819	0.8941	6060	0.0557	0.9783	0.9799	0.9466	0.9630
0.0912	0.8971	6080	0.0558	0.9783	0.9799	0.9466	0.9630
0.0307	0.9000	6100	0.0563	0.9783	0.9799	0.9466	0.9630
0.0271	0.9030	6120	0.0554	0.9783	0.9799	0.9466	0.9630
0.0405	0.9059	6140	0.0555	0.9783	0.9799	0.9466	0.9630
0.0175	0.9089	6160	0.0550	0.9783	0.9799	0.9466	0.9630
0.0459	0.9118	6180	0.0549	0.9783	0.9799	0.9466	0.9630
0.0631	0.9148	6200	0.0554	0.9783	0.9799	0.9466	0.9630
0.0737	0.9177	6220	0.0552	0.9797	0.9848	0.9466	0.9653
0.042	0.9207	6240	0.0559	0.9783	0.9799	0.9466	0.9630
0.0505	0.9236	6260	0.0557	0.9783	0.9799	0.9466	0.9630
0.0424	0.9266	6280	0.0552	0.9797	0.9848	0.9466	0.9653
0.0506	0.9295	6300	0.0560	0.9783	0.9799	0.9466	0.9630
0.0238	0.9325	6320	0.0557	0.9783	0.9799	0.9466	0.9630
0.0703	0.9354	6340	0.0550	0.9783	0.9799	0.9466	0.9630
0.0772	0.9384	6360	0.0556	0.9783	0.9799	0.9466	0.9630
0.0697	0.9414	6380	0.0557	0.9783	0.9799	0.9466	0.9630
0.0446	0.9443	6400	0.0558	0.9783	0.9799	0.9466	0.9630
0.0323	0.9473	6420	0.0550	0.9783	0.9799	0.9466	0.9630
0.0496	0.9502	6440	0.0553	0.9783	0.9799	0.9466	0.9630
0.0809	0.9532	6460	0.0553	0.9783	0.9799	0.9466	0.9630
0.0706	0.9561	6480	0.0549	0.9797	0.9848	0.9466	0.9653
0.0716	0.9591	6500	0.0555	0.9783	0.9799	0.9466	0.9630
0.067	0.9620	6520	0.0552	0.9797	0.9848	0.9466	0.9653
0.0626	0.9650	6540	0.0551	0.9783	0.9799	0.9466	0.9630
0.0275	0.9679	6560	0.0553	0.9783	0.9799	0.9466	0.9630
0.0196	0.9709	6580	0.0551	0.9783	0.9799	0.9466	0.9630
0.0986	0.9738	6600	0.0555	0.9783	0.9799	0.9466	0.9630
0.0275	0.9768	6620	0.0559	0.9797	0.9848	0.9466	0.9653
0.0358	0.9797	6640	0.0552	0.9783	0.9799	0.9466	0.9630
0.0266	0.9827	6660	0.0550	0.9783	0.9799	0.9466	0.9630
0.0759	0.9856	6680	0.0559	0.9783	0.9799	0.9466	0.9630
0.0396	0.9886	6700	0.0549	0.9797	0.9848	0.9466	0.9653
0.0172	0.9915	6720	0.0554	0.9783	0.9799	0.9466	0.9630
0.0444	0.9945	6740	0.0552	0.9783	0.9799	0.9466	0.9630
0.0481	0.9974	6760	0.0549	0.9783	0.9799	0.9466	0.9630

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.1+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3