learning_rate: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
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: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
23.4174	0.0160	5	11.5276	0.5512	0.0509	0.5083	0.5105
20.8541	0.0319	10	11.3887	0.5208	0.0420	0.4838	0.4806
19.7415	0.0479	15	11.2833	0.5674	0.0379	0.5039	0.5039
22.3202	0.0639	20	11.1524	0.6424	0.0488	0.5638	0.5599
19.664	0.0799	25	11.0473	0.6588	0.0387	0.5976	0.5910
19.8018	0.0958	30	11.0452	0.6368	0.0306	0.5833	0.5773
19.3572	0.1118	35	11.0515	0.7488	0.0299	0.6835	0.6747
20.8368	0.1278	40	11.0434	0.8070	0.0621	0.7082	0.7025
22.0695	0.1438	45	10.9605	0.7058	0.0380	0.6236	0.6165
20.6973	0.1597	50	10.9030	0.7250	0.0346	0.6444	0.6367
20.2663	0.1757	55	10.7690	0.8067	0.0531	0.7106	0.7034
22.5977	0.1917	60	10.6166	0.8258	0.0646	0.7409	0.7427
17.239	0.2077	65	10.4542	0.8013	0.0736	0.7240	0.7238
19.9696	0.2236	70	10.2183	0.8306	0.0737	0.7532	0.7495
15.8901	0.2396	75	10.0682	0.8198	0.0683	0.7315	0.7295
15.3968	0.2556	80	9.9389	0.8226	0.0519	0.7350	0.7343
21.1744	0.2716	85	9.8182	0.8582	0.0829	0.7680	0.7633
19.8718	0.2875	90	9.7245	0.8604	0.0792	0.7585	0.7592
16.4366	0.3035	95	9.6151	0.8401	0.0741	0.7469	0.7479
17.3532	0.3195	100	9.5204	0.8644	0.0742	0.7623	0.7632
17.0363	0.3355	105	9.4045	0.9015	0.0792	0.8096	0.8049
18.5648	0.3514	110	9.2755	0.9620	0.0864	0.8438	0.8439
16.616	0.3674	115	9.1327	0.9881	0.0735	0.8607	0.8568
14.493	0.3834	120	8.9794	0.9963	0.0696	0.8583	0.8565
14.9013	0.3994	125	8.8291	1.0745	0.0856	0.9557	0.9567
13.4762	0.4153	130	8.6996	1.0927	0.1052	0.9579	0.9509
14.4945	0.4313	135	8.5736	1.1429	0.1006	1.0144	1.0141
13.5679	0.4473	140	8.4425	1.1295	0.0912	0.9998	0.9994
15.0019	0.4633	145	8.2860	1.1883	0.0962	1.0700	1.0662
14.1212	0.4792	150	8.1218	1.3312	0.1006	1.1960	1.1942
12.7002	0.4952	155	7.9539	1.4626	0.1199	1.2780	1.2770
13.1474	0.5112	160	7.7965	1.3940	0.1190	1.2474	1.2436
14.5109	0.5272	165	7.6643	1.6103	0.1058	1.4796	1.4798
12.6913	0.5431	170	7.5470	1.7523	0.1230	1.5815	1.5751
11.4756	0.5591	175	7.4656	1.9158	0.1608	1.7088	1.7119
11.9234	0.5751	180	7.3834	1.9540	0.1774	1.7611	1.7598
11.0724	0.5911	185	7.2629	1.9871	0.1552	1.7926	1.7887
11.6507	0.6070	190	7.1034	1.9782	0.1410	1.7966	1.7902
11.9906	0.6230	195	6.9759	2.2038	0.1563	1.9806	1.9726
10.8749	0.6390	200	6.8845	2.2981	0.1679	2.0372	2.0295
10.6337	0.6550	205	6.8046	2.3401	0.1510	2.0842	2.0849
10.4566	0.6709	210	6.7251	2.4901	0.1521	2.2305	2.2257
10.3598	0.6869	215	6.6457	2.7227	0.1648	2.4467	2.4454
9.4165	0.7029	220	6.5906	2.8052	0.1248	2.5173	2.5198
9.4989	0.7188	225	6.5359	3.1011	0.1626	2.8119	2.8119
9.1349	0.7348	230	6.4783	3.2991	0.2224	2.9851	2.9873
9.7813	0.7508	235	6.4346	3.2898	0.1813	2.9987	3.0018
8.7862	0.7668	240	6.3906	3.2366	0.1717	2.9376	2.9315
8.5808	0.7827	245	6.3494	3.4441	0.1838	3.1485	3.1404
8.3688	0.7987	250	6.3160	3.4652	0.2120	3.0932	3.0858
7.8728	0.8147	255	6.1939	3.5126	0.2161	3.1197	3.1101
7.7791	0.8307	260	6.0422	3.5680	0.2148	3.2478	3.2502
7.6755	0.8466	265	5.9109	3.4946	0.2339	3.1731	3.1703
7.4162	0.8626	270	5.8052	3.5776	0.2309	3.2148	3.2215
7.2342	0.8786	275	5.7194	3.3818	0.1998	3.0493	3.0476
7.1504	0.8946	280	5.6598	3.1740	0.1684	2.8844	2.8834
7.0159	0.9105	285	5.6208	2.9711	0.1415	2.7126	2.7104
7.1424	0.9265	290	5.5964	2.7683	0.0634	2.5813	2.5837
6.7451	0.9425	295	5.5818	2.7456	0.0568	2.5982	2.5947
6.7401	0.9585	300	5.5601	2.6545	0.0280	2.5506	2.5347
6.7725	0.9744	305	5.5474	2.6375	0.0225	2.5254	2.5062
6.6	0.9904	310	5.5262	2.6241	0.0318	2.5260	2.5160
6.7553	1.0064	315	5.5075	2.7581	0.0752	2.6420	2.6236
6.7118	1.0224	320	5.4911	2.8034	0.0704	2.6557	2.6419
6.5138	1.0383	325	5.4664	2.8934	0.0729	2.7440	2.7363
6.3071	1.0543	330	5.4398	2.9828	0.0718	2.8381	2.8348
6.2783	1.0703	335	5.4021	3.0171	0.0941	2.8712	2.8618
6.1266	1.0863	340	5.3589	3.1202	0.1625	2.9845	2.9727
6.1881	1.1022	345	5.3167	3.3116	0.2156	3.1289	3.1196
6.2642	1.1182	350	5.2739	3.4642	0.2852	3.2263	3.2161
6.146	1.1342	355	5.2336	3.5524	0.2905	3.2935	3.2832
6.1432	1.1502	360	5.1949	3.6599	0.2973	3.4063	3.3878
5.9649	1.1661	365	5.1552	3.7014	0.3259	3.4428	3.4269
6.2828	1.1821	370	5.1219	3.8202	0.3492	3.5719	3.5633
5.9083	1.1981	375	5.0893	4.0190	0.3812	3.7140	3.7099
5.9194	1.2141	380	5.0534	4.2639	0.4082	3.9475	3.9430
5.8114	1.2300	385	5.0187	4.4058	0.4498	4.0691	4.0584
5.9099	1.2460	390	4.9859	4.6188	0.4248	4.2003	4.1816
6.9239	1.2620	395	4.9597	4.6864	0.3851	4.2822	4.2767
5.8784	1.2780	400	4.9367	4.7774	0.4615	4.3299	4.3268
5.6944	1.2939	405	4.9154	4.7518	0.4225	4.2943	4.2835
5.7841	1.3099	410	4.8942	5.0763	0.5001	4.5626	4.5506
5.4959	1.3259	415	4.8727	5.1974	0.4848	4.6204	4.6136
5.7918	1.3419	420	4.8514	5.3658	0.5150	4.7269	4.7229
5.564	1.3578	425	4.8315	5.4525	0.5188	4.7995	4.7949
5.7502	1.3738	430	4.8120	5.5823	0.5460	4.8396	4.8402
5.7183	1.3898	435	4.7962	5.6605	0.5128	4.9291	4.9355
5.6075	1.4058	440	4.7827	5.8504	0.5399	5.0957	5.0945
5.4517	1.4217	445	4.7698	5.9596	0.5882	5.0729	5.0818
5.5904	1.4377	450	4.7567	6.3422	0.6041	5.3449	5.3427
5.5302	1.4537	455	4.7425	6.5357	0.6688	5.4570	5.4494
5.4474	1.4696	460	4.7274	6.6389	0.6350	5.5574	5.5418
5.5081	1.4856	465	4.7142	6.7687	0.7230	5.6597	5.6488
5.7388	1.5016	470	4.7033	6.7877	0.6756	5.6965	5.6844
5.7518	1.5176	475	4.6940	6.7742	0.6820	5.6947	5.6833
5.9692	1.5335	480	4.6832	6.7753	0.6728	5.7376	5.7326
5.5493	1.5495	485	4.6752	6.7782	0.6779	5.7264	5.7236
5.4517	1.5655	490	4.6660	6.7433	0.6677	5.6678	5.6627
5.4072	1.5815	495	4.6544	6.7451	0.6685	5.6435	5.6459
5.3341	1.5974	500	4.6415	6.7146	0.6591	5.6348	5.6298
5.5638	1.6134	505	4.6278	6.9514	0.7494	5.7740	5.7623
5.4438	1.6294	510	4.6193	6.9315	0.7450	5.8160	5.8072
5.2225	1.6454	515	4.6121	7.0183	0.7255	5.8563	5.8436
5.3059	1.6613	520	4.6048	7.0723	0.7431	5.9316	5.9195
5.249	1.6773	525	4.5995	7.1713	0.7601	6.0056	5.9905
5.4208	1.6933	530	4.5945	7.2201	0.7667	5.9700	5.9527
5.8052	1.7093	535	4.5898	7.2075	0.7749	5.9898	5.9838
5.5609	1.7252	540	4.5833	7.2178	0.8101	5.9825	5.9742
5.3695	1.7412	545	4.5759	7.1889	0.8046	5.9291	5.9202
5.3855	1.7572	550	4.5688	7.2416	0.8298	6.0218	6.0193
5.2254	1.7732	555	4.5620	7.1364	0.7926	5.9165	5.9173
5.2946	1.7891	560	4.5562	7.1300	0.8436	5.8809	5.8734
5.1469	1.8051	565	4.5523	7.0630	0.8550	5.8875	5.8791
5.4316	1.8211	570	4.5476	7.1515	0.8185	5.8968	5.9001
5.4154	1.8371	575	4.5434	7.0949	0.8109	5.8768	5.8783
5.3236	1.8530	580	4.5393	7.0200	0.8220	5.8357	5.8337
5.3977	1.8690	585	4.5353	6.8813	0.7518	5.7547	5.7480
5.231	1.8850	590	4.5306	6.9975	0.8231	5.8376	5.8361
5.1977	1.9010	595	4.5253	6.9867	0.7840	5.7865	5.7865
5.1508	1.9169	600	4.5183	6.9963	0.7654	5.7866	5.7769
5.3122	1.9329	605	4.5135	7.0253	0.7531	5.8269	5.8236
5.2965	1.9489	610	4.5090	7.1005	0.7956	5.8740	5.8678
5.2763	1.9649	615	4.5049	7.2127	0.8061	5.9695	5.9634
5.197	1.9808	620	4.5003	7.2466	0.8646	5.9926	5.9920
5.06	1.9968	625	4.4960	7.1826	0.8737	5.9518	5.9560
5.197	2.0128	630	4.4950	7.1843	0.8755	5.9126	5.9132
5.1263	2.0288	635	4.4935	7.2493	0.8757	5.9768	5.9753
5.2239	2.0447	640	4.4904	7.1220	0.8488	5.8750	5.8761
5.4354	2.0607	645	4.4874	7.1138	0.8524	5.8486	5.8486
5.8528	2.0767	650	4.4851	7.1801	0.8384	5.9110	5.9093
5.1073	2.0927	655	4.4841	7.1465	0.8200	5.8586	5.8598
5.2021	2.1086	660	4.4827	7.1738	0.8648	5.9139	5.9107
5.2228	2.1246	665	4.4818	7.1615	0.8452	5.8823	5.8806
5.1512	2.1406	670	4.4792	7.2016	0.8799	5.9256	5.9243
5.0959	2.1565	675	4.4749	7.2563	0.8906	5.9145	5.9190
5.0816	2.1725	680	4.4706	7.2635	0.9198	5.9403	5.9434
5.2325	2.1885	685	4.4672	7.2539	0.8930	5.9365	5.9373
5.2439	2.2045	690	4.4647	7.1329	0.8859	5.8597	5.8618
5.3669	2.2204	695	4.4639	7.1435	0.8830	5.8719	5.8697
5.1739	2.2364	700	4.4615	7.1627	0.8747	5.9314	5.9293
5.1589	2.2524	705	4.4581	7.1976	0.8329	5.9189	5.9181
5.0201	2.2684	710	4.4548	7.1503	0.8330	5.8295	5.8288
5.1782	2.2843	715	4.4524	7.0478	0.8211	5.7872	5.7877
5.4161	2.3003	720	4.4512	7.0227	0.8004	5.7695	5.7741
5.2066	2.3163	725	4.4483	7.0058	0.8090	5.7595	5.7571
5.2428	2.3323	730	4.4456	6.9623	0.8100	5.7154	5.7128
5.2263	2.3482	735	4.4429	7.0183	0.8002	5.7599	5.7542
5.1332	2.3642	740	4.4402	7.1283	0.8214	5.8456	5.8473
5.2223	2.3802	745	4.4370	7.1333	0.8331	5.8713	5.8781
5.0942	2.3962	750	4.4358	7.2237	0.8484	5.9213	5.9230
5.1686	2.4121	755	4.4354	7.2068	0.8469	5.9262	5.9210
5.1731	2.4281	760	4.4340	7.2619	0.8603	5.9468	5.9409
5.1303	2.4441	765	4.4309	7.2012	0.8455	5.8986	5.8969
4.9487	2.4601	770	4.4286	7.1008	0.8057	5.8042	5.8038
5.0781	2.4760	775	4.4271	7.0506	0.7662	5.7615	5.7577
5.1239	2.4920	780	4.4255	7.0936	0.8019	5.8001	5.7966
5.0973	2.5080	785	4.4233	7.1104	0.8471	5.8333	5.8377
5.047	2.5240	790	4.4226	7.1011	0.8421	5.8017	5.8025
5.1145	2.5399	795	4.4214	7.1758	0.8452	5.8921	5.8885
5.1569	2.5559	800	4.4199	7.2287	0.8429	5.9401	5.9358
5.0929	2.5719	805	4.4186	7.2605	0.8465	5.9684	5.9706
4.9979	2.5879	810	4.4167	7.2952	0.8723	5.9564	5.9586
5.2416	2.6038	815	4.4148	7.3345	0.8723	5.9941	5.9916
5.1275	2.6198	820	4.4122	7.3157	0.8731	5.9902	5.9799
5.0442	2.6358	825	4.4109	7.3031	0.8777	5.9888	5.9800
5.02	2.6518	830	4.4111	7.3503	0.8800	6.0046	5.9926
5.0734	2.6677	835	4.4122	7.3183	0.8784	5.9362	5.9262
5.078	2.6837	840	4.4128	7.3182	0.8817	5.9506	5.9443
4.9815	2.6997	845	4.4116	7.2872	0.9068	5.9426	5.9339
4.9768	2.7157	850	4.4089	7.3339	0.8839	6.0006	5.9917
5.032	2.7316	855	4.4048	7.3529	0.8972	6.0608	6.0543
5.025	2.7476	860	4.4027	7.3729	0.9448	6.0690	6.0629
5.0341	2.7636	865	4.4008	7.2963	0.9054	6.0141	6.0132
4.9091	2.7796	870	4.4007	7.2958	0.8849	6.0324	6.0364
5.0662	2.7955	875	4.4016	7.3117	0.8884	6.0305	6.0244
5.2129	2.8115	880	4.4022	7.2543	0.8930	5.9937	5.9829
5.1673	2.8275	885	4.4010	7.3243	0.8953	6.0491	6.0441
5.0533	2.8435	890	4.3979	7.2927	0.8748	6.0153	6.0086
5.0917	2.8594	895	4.3944	7.3091	0.9064	6.0178	6.0094
5.2621	2.8754	900	4.3935	7.2308	0.8968	5.9607	5.9525
4.9642	2.8914	905	4.3933	7.2551	0.8896	5.9743	5.9692
5.013	2.9073	910	4.3922	7.2437	0.8894	5.9721	5.9652
5.0455	2.9233	915	4.3906	7.2870	0.9207	5.9824	5.9747
5.1566	2.9393	920	4.3894	7.3241	0.9130	6.0086	5.9984
5.1624	2.9553	925	4.3892	7.3109	0.9082	5.9725	5.9633
4.9393	2.9712	930	4.3880	7.3367	0.9046	5.9947	5.9904
5.0442	2.9872	935	4.3868	7.3301	0.8972	5.9785	5.9684
5.1003	3.0032	940	4.3850	7.2628	0.8845	5.9464	5.9399
5.0953	3.0192	945	4.3836	7.2418	0.8976	5.9284	5.9251
5.0498	3.0351	950	4.3827	7.2159	0.8875	5.8910	5.8869
4.9049	3.0511	955	4.3810	7.2497	0.9309	5.9163	5.9116
5.1671	3.0671	960	4.3788	7.2706	0.9297	5.9437	5.9386
5.039	3.0831	965	4.3772	7.2784	0.9169	5.9150	5.9039
4.9631	3.0990	970	4.3764	7.2486	0.9009	5.8804	5.8762
5.0452	3.1150	975	4.3759	7.2401	0.8922	5.8692	5.8657
5.0414	3.1310	980	4.3750	7.2768	0.8755	5.9131	5.9067
5.0543	3.1470	985	4.3746	7.3163	0.9281	5.9206	5.9190
5.0062	3.1629	990	4.3747	7.4349	0.9639	6.0304	6.0215
5.0441	3.1789	995	4.3762	7.4030	0.9699	6.0210	6.0136
5.0549	3.1949	1000	4.3763	7.4348	0.9795	6.0078	6.0003
4.8066	3.2109	1005	4.3762	7.3923	0.9642	5.9953	5.9818
4.9398	3.2268	1010	4.3762	7.3906	0.9577	5.9968	5.9852
4.9251	3.2428	1015	4.3758	7.4300	0.9411	6.0545	6.0482
4.9915	3.2588	1020	4.3758	7.4863	0.9828	6.0976	6.0841
5.0957	3.2748	1025	4.3752	7.4985	0.9803	6.1357	6.1216
5.1146	3.2907	1030	4.3740	7.5046	0.9575	6.1345	6.1203
5.1074	3.3067	1035	4.3727	7.5027	0.9469	6.0929	6.0845
4.88	3.3227	1040	4.3711	7.4661	0.9356	6.0458	6.0364
4.922	3.3387	1045	4.3693	7.4812	0.9686	6.0729	6.0572
5.0247	3.3546	1050	4.3667	7.4387	0.9287	6.0286	6.0156
4.9925	3.3706	1055	4.3645	7.4062	0.9259	5.9774	5.9694
5.0598	3.3866	1060	4.3631	7.4506	0.9642	5.9859	5.9719
5.1107	3.4026	1065	4.3620	7.4497	0.9831	5.9838	5.9676
5.9375	3.4185	1070	4.3621	7.4267	0.9827	5.9516	5.9419
5.0654	3.4345	1075	4.3630	7.4204	0.9749	5.9540	5.9443
5.0002	3.4505	1080	4.3650	7.4044	0.9337	5.9603	5.9516
4.9958	3.4665	1085	4.3672	7.4358	0.9545	5.9941	5.9836
4.9601	3.4824	1090	4.3681	7.4650	0.9612	6.0129	6.0008
5.0984	3.4984	1095	4.3687	7.3706	0.9345	5.9709	5.9548
5.0266	3.5144	1100	4.3684	7.3913	0.9382	5.9680	5.9598
4.8365	3.5304	1105	4.3686	7.3994	0.9509	5.9680	5.9572
4.8761	3.5463	1110	4.3675	7.4688	0.9509	5.9876	5.9789
4.9711	3.5623	1115	4.3662	7.4356	0.9500	5.9815	5.9745
5.027	3.5783	1120	4.3660	7.4089	0.9309	5.9851	5.9710
4.8545	3.5942	1125	4.3662	7.4501	0.9371	6.0094	5.9983
4.8711	3.6102	1130	4.3666	7.4912	0.9437	6.0361	6.0276
4.9593	3.6262	1135	4.3661	7.5101	0.9449	6.0638	6.0620
5.0499	3.6422	1140	4.3654	7.5779	0.9641	6.0859	6.0758
5.1807	3.6581	1145	4.3647	7.6076	0.9619	6.0981	6.0904
4.9862	3.6741	1150	4.3630	7.6010	0.9717	6.0660	6.0576
4.8606	3.6901	1155	4.3617	7.5719	0.9763	6.0416	6.0323
5.1017	3.7061	1160	4.3609	7.5500	0.9730	6.0361	6.0249
5.145	3.7220	1165	4.3596	7.5079	0.9484	5.9961	5.9835
5.0378	3.7380	1170	4.3590	7.4708	0.9639	5.9879	5.9769
5.1457	3.7540	1175	4.3584	7.4506	0.9670	5.9667	5.9589
4.8238	3.7700	1180	4.3572	7.5186	0.9703	5.9893	5.9760
5.0649	3.7859	1185	4.3552	7.5171	0.9449	5.9562	5.9513
5.2019	3.8019	1190	4.3540	7.5922	0.9901	6.0043	5.9924
4.9544	3.8179	1195	4.3534	7.6158	0.9749	5.9965	5.9857
5.0737	3.8339	1200	4.3523	7.6583	0.9888	6.0326	6.0217
5.0164	3.8498	1205	4.3516	7.6724	0.9962	6.0160	6.0052
5.0842	3.8658	1210	4.3509	7.5698	0.9960	5.9851	5.9752
4.8723	3.8818	1215	4.3501	7.5539	0.9918	5.9883	5.9771
4.9591	3.8978	1220	4.3497	7.4666	0.9714	5.9291	5.9206
4.9407	3.9137	1225	4.3491	7.4850	0.9716	5.9482	5.9378
4.9529	3.9297	1230	4.3488	7.4749	0.9759	5.9510	5.9453
4.7896	3.9457	1235	4.3486	7.4730	0.9514	5.9567	5.9470
4.9939	3.9617	1240	4.3479	7.4929	0.9907	5.9980	5.9886
4.9954	3.9776	1245	4.3468	7.5651	1.0185	6.0080	6.0022
5.0677	3.9936	1250	4.3460	7.5604	1.0443	6.0228	6.0100
4.8667	4.0096	1255	4.3460	7.5730	1.0380	6.0162	6.0022
4.9784	4.0256	1260	4.3454	7.5657	1.0282	5.9908	5.9860
4.8794	4.0415	1265	4.3447	7.5704	1.0411	5.9863	5.9772
4.9753	4.0575	1270	4.3439	7.5492	0.9916	5.9362	5.9300
4.8115	4.0735	1275	4.3434	7.5454	0.9888	5.9454	5.9433
4.9679	4.0895	1280	4.3421	7.5914	1.0105	5.9620	5.9625
4.9535	4.1054	1285	4.3412	7.6417	1.0420	5.9848	5.9852
5.0465	4.1214	1290	4.3410	7.6500	1.0408	5.9770	5.9797
4.9678	4.1374	1295	4.3407	7.6556	1.0283	5.9699	5.9734
4.8975	4.1534	1300	4.3408	7.6201	1.0222	5.9561	5.9589
5.073	4.1693	1305	4.3405	7.6351	1.0144	5.9511	5.9503
5.0291	4.1853	1310	4.3398	7.6253	1.0094	5.9875	5.9866
4.7808	4.2013	1315	4.3404	7.6265	1.0080	5.9924	5.9872
5.0118	4.2173	1320	4.3406	7.6036	1.0131	5.9951	5.9944
4.9147	4.2332	1325	4.3408	7.6478	1.0060	5.9993	5.9963
5.2196	4.2492	1330	4.3409	7.6920	1.0183	6.0359	6.0368
4.7923	4.2652	1335	4.3402	7.7291	1.0206	6.0770	6.0775
5.2416	4.2812	1340	4.3389	7.7189	1.0336	6.0734	6.0690
4.9129	4.2971	1345	4.3371	7.7187	1.0641	6.0790	6.0741
4.8426	4.3131	1350	4.3360	7.7236	1.0619	6.0650	6.0600
4.9097	4.3291	1355	4.3350	7.7200	1.0503	6.0460	6.0423
4.812	4.3450	1360	4.3344	7.7144	1.0565	6.0526	6.0517
5.01	4.3610	1365	4.3338	7.7116	1.0388	6.0731	6.0710
4.8906	4.3770	1370	4.3326	7.7511	1.0446	6.0964	6.0925
4.9873	4.3930	1375	4.3326	7.7392	1.0728	6.0972	6.0944
4.8922	4.4089	1380	4.3326	7.6930	1.0453	6.0528	6.0544
5.0074	4.4249	1385	4.3323	7.6723	1.0509	6.0698	6.0709
4.9939	4.4409	1390	4.3318	7.6901	1.0595	6.0942	6.0909
5.023	4.4569	1395	4.3318	7.7283	1.0458	6.1093	6.1050
4.8076	4.4728	1400	4.3317	7.6976	1.0719	6.0941	6.0859
5.1418	4.4888	1405	4.3321	7.7327	1.0791	6.0838	6.0748
4.8614	4.5048	1410	4.3321	7.5965	1.0139	6.0089	6.0025
4.8516	4.5208	1415	4.3322	7.6741	1.0467	6.0436	6.0375
5.1611	4.5367	1420	4.3331	7.6540	1.0297	6.0385	6.0298
4.8864	4.5527	1425	4.3332	7.6279	1.0335	6.0205	6.0106
5.0181	4.5687	1430	4.3328	7.6939	1.0702	6.0759	6.0756
5.1197	4.5847	1435	4.3319	7.7408	1.0965	6.1116	6.1082
5.03	4.6006	1440	4.3315	7.7497	1.0758	6.1203	6.1149
4.8272	4.6166	1445	4.3318	7.7247	1.0643	6.1007	6.0937
4.8669	4.6326	1450	4.3319	7.7556	1.0908	6.1252	6.1205
4.9243	4.6486	1455	4.3316	7.7401	1.0920	6.1078	6.1052
4.9354	4.6645	1460	4.3311	7.7599	1.0710	6.1272	6.1201
4.9087	4.6805	1465	4.3312	7.7357	1.0748	6.1100	6.1019
5.0466	4.6965	1470	4.3313	7.7241	1.0440	6.0772	6.0712
4.987	4.7125	1475	4.3311	7.6894	1.0217	6.0663	6.0653
5.0424	4.7284	1480	4.3312	7.7028	1.0257	6.0607	6.0603
4.9104	4.7444	1485	4.3314	7.7049	1.0382	6.0579	6.0566
5.4987	4.7604	1490	4.3316	7.7122	1.0360	6.0474	6.0392
4.9413	4.7764	1495	4.3316	7.7498	1.0150	6.0863	6.0798
4.9124	4.7923	1500	4.3321	7.7538	1.0291	6.0791	6.0753
4.8853	4.8083	1505	4.3328	7.7532	1.0170	6.0938	6.0888
4.9113	4.8243	1510	4.3325	7.7311	1.0010	6.0658	6.0632
5.1313	4.8403	1515	4.3322	7.7341	0.9924	6.0552	6.0545
4.9934	4.8562	1520	4.3313	7.7445	1.0359	6.0700	6.0630
4.9148	4.8722	1525	4.3303	7.7310	1.0531	6.0620	6.0601
4.9555	4.8882	1530	4.3295	7.7469	1.0705	6.0964	6.0910
4.7897	4.9042	1535	4.3290	7.7583	1.0816	6.0907	6.0861
5.2209	4.9201	1540	4.3291	7.6943	1.0308	6.0188	6.0216
5.1329	4.9361	1545	4.3293	7.7375	1.0413	6.0539	6.0509
4.9242	4.9521	1550	4.3295	7.7516	1.0480	6.0517	6.0544
4.8293	4.9681	1555	4.3290	7.7303	1.0457	6.0352	6.0299
4.9005	4.9840	1560	4.3285	7.7264	1.0352	6.0264	6.0187
4.9146	5.0	1565	4.3283	7.7195	1.0331	6.0371	6.0316
5.0743	5.0160	1570	4.3279	7.7183	1.0703	6.0462	6.0352
4.8564	5.0319	1575	4.3276	7.7294	1.0774	6.0553	6.0465
4.927	5.0479	1580	4.3274	7.7478	1.0915	6.0644	6.0530
4.7846	5.0639	1585	4.3270	7.7938	1.1112	6.1027	6.0903
5.0363	5.0799	1590	4.3270	7.8152	1.1145	6.1205	6.1103
4.8218	5.0958	1595	4.3269	7.7887	1.1122	6.1028	6.0912
4.9988	5.1118	1600	4.3264	7.7989	1.0866	6.1238	6.1106
5.0564	5.1278	1605	4.3260	7.7916	1.0738	6.1174	6.1035
4.9796	5.1438	1610	4.3261	7.7909	1.0695	6.1230	6.1167
4.9055	5.1597	1615	4.3263	7.7884	1.0694	6.1194	6.1151
5.0426	5.1757	1620	4.3266	7.8154	1.0780	6.1596	6.1528
4.8726	5.1917	1625	4.3268	7.8710	1.0926	6.2040	6.1981
4.9214	5.2077	1630	4.3268	7.8670	1.0880	6.2140	6.2059
4.7925	5.2236	1635	4.3270	7.8478	1.0920	6.1588	6.1562
4.8974	5.2396	1640	4.3270	7.8261	1.1046	6.1584	6.1575
4.942	5.2556	1645	4.3269	7.7903	1.0984	6.1120	6.1089
4.8275	5.2716	1650	4.3267	7.8096	1.0926	6.1156	6.1118
5.2443	5.2875	1655	4.3266	7.8066	1.0915	6.1225	6.1208
4.9792	5.3035	1660	4.3265	7.8421	1.0884	6.1384	6.1326
5.0446	5.3195	1665	4.3264	7.8426	1.0842	6.1409	6.1384
4.9313	5.3355	1670	4.3265	7.8642	1.0807	6.1659	6.1570
4.7981	5.3514	1675	4.3262	7.8241	1.0759	6.1698	6.1630
4.8056	5.3674	1680	4.3258	7.8492	1.0877	6.1975	6.1891
4.9503	5.3834	1685	4.3257	7.8797	1.0971	6.2128	6.2035
4.9289	5.3994	1690	4.3256	7.8831	1.1095	6.2021	6.1947
4.9398	5.4153	1695	4.3256	7.8577	1.1025	6.1788	6.1690
4.8135	5.4313	1700	4.3255	7.8440	1.0957	6.1659	6.1589
4.9993	5.4473	1705	4.3255	7.7802	1.0757	6.1289	6.1246
4.9389	5.4633	1710	4.3253	7.7995	1.0852	6.1398	6.1318
5.1666	5.4792	1715	4.3248	7.7675	1.0663	6.1302	6.1217
4.9146	5.4952	1720	4.3246	7.7542	1.0510	6.1118	6.1048
4.8464	5.5112	1725	4.3245	7.7685	1.0458	6.1273	6.1173
4.9564	5.5272	1730	4.3246	7.7701	1.0553	6.1174	6.1098
4.9375	5.5431	1735	4.3247	7.8109	1.0601	6.1367	6.1313
4.8133	5.5591	1740	4.3249	7.8305	1.0728	6.1654	6.1590
4.912	5.5751	1745	4.3251	7.8129	1.0629	6.1426	6.1365
4.8319	5.5911	1750	4.3251	7.8199	1.0698	6.1581	6.1561
4.9121	5.6070	1755	4.3251	7.8372	1.0657	6.1785	6.1737
4.9906	5.6230	1760	4.3249	7.8071	1.0540	6.1744	6.1683
4.954	5.6390	1765	4.3248	7.7878	1.0540	6.1538	6.1520
5.4461	5.6550	1770	4.3246	7.7997	1.0543	6.1591	6.1566
5.0082	5.6709	1775	4.3242	7.8102	1.0602	6.1712	6.1660
4.7876	5.6869	1780	4.3240	7.7923	1.0579	6.1640	6.1587
4.9822	5.7029	1785	4.3238	7.8041	1.0695	6.1665	6.1598
4.9743	5.7188	1790	4.3238	7.8227	1.0672	6.1718	6.1658
4.7794	5.7348	1795	4.3238	7.8236	1.0587	6.1678	6.1618
4.887	5.7508	1800	4.3238	7.8118	1.0493	6.1490	6.1430
4.9724	5.7668	1805	4.3237	7.8100	1.0490	6.1387	6.1352
4.9202	5.7827	1810	4.3234	7.8060	1.0534	6.1295	6.1289
4.9347	5.7987	1815	4.3232	7.8086	1.0454	6.1371	6.1370
4.8149	5.8147	1820	4.3230	7.8131	1.0503	6.1413	6.1411
4.9697	5.8307	1825	4.3230	7.8132	1.0503	6.1416	6.1414
4.9892	5.8466	1830	4.3229	7.8132	1.0503	6.1416	6.1414
4.8792	5.8626	1835	4.3229	7.8264	1.0503	6.1416	6.1413
4.929	5.8786	1840	4.3228	7.8286	1.0578	6.1372	6.1368
4.9375	5.8946	1845	4.3228	7.8286	1.0578	6.1383	6.1387
4.8564	5.9105	1850	4.3228	7.8423	1.0575	6.1429	6.1443
5.0988	5.9265	1855	4.3227	7.8423	1.0575	6.1429	6.1443
5.0853	5.9425	1860	4.3227	7.8217	1.0502	6.1385	6.1409
5.1103	5.9585	1865	4.3227	7.8216	1.0545	6.1432	6.1446
4.8901	5.9744	1870	4.3227	7.8216	1.0545	6.1432	6.1446
4.8509	5.9904	1875	4.3226	7.8216	1.0545	6.1432	6.1446

Framework versions

PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0

benitoals/mt5-lora

mt5-lora

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

benitoals/
mt5-lora