Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	113	0.7526	80.8695	77.9379	80.7636	80.7858	15.6577
No log	2.0	226	0.6720	81.3067	78.4208	81.2158	81.2418	15.5721
No log	3.0	339	0.6472	81.5539	78.6973	81.4666	81.5086	15.4799
No log	4.0	452	0.6217	81.4038	78.5499	81.3074	81.3618	15.5369
0.7253	5.0	565	0.5931	81.6448	78.8248	81.5691	81.5943	15.4698
0.7253	6.0	678	0.5696	81.7034	78.8675	81.6142	81.64	15.453
0.7253	7.0	791	0.5646	81.7875	78.9862	81.727	81.7454	15.4329
0.7253	8.0	904	0.5531	81.7309	78.905	81.6487	81.6755	15.4346
0.5664	9.0	1017	0.5409	81.5895	78.7604	81.4983	81.5348	15.4178
0.5664	10.0	1130	0.5467	81.5002	78.6385	81.3915	81.4247	15.448
0.5664	11.0	1243	0.5290	81.622	78.7775	81.5339	81.5417	15.4128
0.5664	12.0	1356	0.5247	81.5904	78.7444	81.4944	81.5451	15.3641
0.5664	13.0	1469	0.5164	81.6429	78.8116	81.5581	81.5926	15.3574
0.499	14.0	1582	0.5182	81.5478	78.6836	81.455	81.5058	15.3607
0.499	15.0	1695	0.5058	81.4959	78.6553	81.4129	81.4608	15.2433
0.499	16.0	1808	0.4985	81.7445	78.971	81.6587	81.7184	15.1913
0.499	17.0	1921	0.4953	81.6383	78.8217	81.5419	81.6169	15.2131
0.456	18.0	2034	0.4914	81.6345	78.8308	81.506	81.5956	15.1695
0.456	19.0	2147	0.4918	81.4352	78.6371	81.319	81.4134	15.0923
0.456	20.0	2260	0.4950	81.4993	78.6787	81.401	81.466	15.1661
0.456	21.0	2373	0.4839	81.7538	78.9501	81.655	81.7017	15.0453
0.456	22.0	2486	0.4917	81.445	78.6264	81.3378	81.4072	15.1376
0.4233	23.0	2599	0.4790	81.6857	78.8888	81.5719	81.6151	15.0084
0.4233	24.0	2712	0.4801	81.5146	78.7124	81.3956	81.4622	15.047
0.4233	25.0	2825	0.4833	81.4409	78.6415	81.3185	81.4137	15.0587
0.4233	26.0	2938	0.4846	81.4886	78.6912	81.3758	81.4498	15.0487
0.396	27.0	3051	0.4782	81.4474	78.6254	81.3355	81.4372	14.8674
0.396	28.0	3164	0.4767	81.5577	78.7259	81.4474	81.4906	14.7919
0.396	29.0	3277	0.4745	81.648	78.7893	81.5163	81.5654	14.9262
0.396	30.0	3390	0.4679	81.4867	78.6765	81.3659	81.4438	14.7399
0.3738	31.0	3503	0.4722	81.8409	79.0512	81.7436	81.7752	15.0
0.3738	32.0	3616	0.4698	81.6546	78.867	81.5383	81.6146	14.9279
0.3738	33.0	3729	0.4629	81.5223	78.6672	81.3989	81.4953	14.6342
0.3738	34.0	3842	0.4689	81.3717	78.4879	81.2359	81.3315	14.7534
0.3738	35.0	3955	0.4714	81.4911	78.6664	81.3923	81.4424	14.8842
0.3585	36.0	4068	0.4615	81.2428	78.3459	81.1102	81.1907	14.4581
0.3585	37.0	4181	0.4709	81.4039	78.4899	81.2677	81.3251	14.7299
0.3585	38.0	4294	0.4723	81.4856	78.6036	81.3627	81.4373	14.8154
0.3585	39.0	4407	0.4704	81.3924	78.5321	81.3295	81.3834	14.6158
0.3377	40.0	4520	0.4649	81.4455	78.5817	81.3635	81.4353	14.5906
0.3377	41.0	4633	0.4646	81.2935	78.4222	81.1972	81.2504	14.4983
0.3377	42.0	4746	0.4692	81.2082	78.3097	81.1218	81.18	14.5872
0.3377	43.0	4859	0.4673	81.3108	78.426	81.2192	81.2795	14.5822
0.3377	44.0	4972	0.4763	81.1511	78.272	81.0806	81.1195	14.6174
0.327	45.0	5085	0.4703	81.1883	78.2662	81.0751	81.1556	14.5017
0.327	46.0	5198	0.4701	81.3512	78.497	81.2556	81.2958	14.5638
0.327	47.0	5311	0.4675	81.3069	78.4365	81.2282	81.2661	14.5872
0.327	48.0	5424	0.4713	81.3203	78.4676	81.2704	81.2963	14.6074
0.3132	49.0	5537	0.4685	81.4914	78.6478	81.4025	81.4461	14.5319
0.3132	50.0	5650	0.4704	81.4722	78.6349	81.401	81.4166	14.5185
0.3132	51.0	5763	0.4746	81.5848	78.7389	81.4983	81.5228	14.5487
0.3132	52.0	5876	0.4736	81.6095	78.7901	81.5205	81.5296	14.5101
0.3132	53.0	5989	0.4738	81.4913	78.6738	81.3957	81.4394	14.5956
0.3043	54.0	6102	0.4733	81.3817	78.4843	81.2916	81.3222	14.6795
0.3043	55.0	6215	0.4747	81.4791	78.5596	81.3719	81.391	14.6023
0.3043	56.0	6328	0.4755	81.3834	78.4865	81.3217	81.334	14.5537
0.3043	57.0	6441	0.4687	81.0989	78.1685	81.0179	81.0713	14.3742
0.3	58.0	6554	0.4746	81.5527	78.6533	81.4764	81.5086	14.4933
0.3	59.0	6667	0.4717	81.4294	78.5367	81.3555	81.393	14.3842
0.3	60.0	6780	0.4797	81.2638	78.347	81.1945	81.2258	14.5906
0.3	61.0	6893	0.4740	81.2198	78.3272	81.1701	81.1926	14.5151
0.2835	62.0	7006	0.4742	81.1578	78.2664	81.0988	81.1239	14.5218
0.2835	63.0	7119	0.4766	81.0438	78.1511	80.9756	81.0192	14.4312
0.2835	64.0	7232	0.4716	80.967	78.013	80.8988	80.9291	14.2936
0.2835	65.0	7345	0.4729	81.0833	78.16	81.0197	81.0557	14.3221
0.2835	66.0	7458	0.4788	81.1509	78.2452	81.0636	81.1082	14.4396
0.2753	67.0	7571	0.4802	81.2766	78.3662	81.1998	81.2395	14.4362
0.2753	68.0	7684	0.4764	80.986	78.0241	80.907	80.9182	14.4295
0.2753	69.0	7797	0.4783	81.2485	78.3734	81.1851	81.232	14.4178
0.2753	70.0	7910	0.4794	81.1969	78.2884	81.1091	81.1547	14.3943
0.2671	71.0	8023	0.4746	81.1233	78.1151	81.0474	81.1019	14.307
0.2671	72.0	8136	0.4750	81.0761	78.1707	80.99	81.0476	14.3758
0.2671	73.0	8249	0.4769	81.1251	78.1659	81.0612	81.1	14.3876
0.2671	74.0	8362	0.4809	81.1335	78.2075	81.0582	81.1128	14.3909
0.2671	75.0	8475	0.4819	81.1342	78.2138	81.0627	81.0962	14.4866
0.2611	76.0	8588	0.4779	81.1457	78.2469	81.0921	81.1249	14.4228
0.2611	77.0	8701	0.4849	81.3577	78.4481	81.2961	81.3106	14.4916
0.2611	78.0	8814	0.4854	81.2655	78.3525	81.2021	81.2204	14.4379
0.2611	79.0	8927	0.4779	81.209	78.2182	81.1394	81.2018	14.3104
0.2582	80.0	9040	0.4792	81.1094	78.109	81.0498	81.0597	14.443
0.2582	81.0	9153	0.4798	81.2118	78.2388	81.158	81.1979	14.2836
0.2582	82.0	9266	0.4785	81.1646	78.1741	81.0892	81.1318	14.2819
0.2582	83.0	9379	0.4894	81.0246	78.0386	80.9799	81.0082	14.5352
0.2582	84.0	9492	0.4852	80.8181	77.748	80.7271	80.7857	14.307
0.2502	85.0	9605	0.4853	80.8607	77.8081	80.7819	80.826	14.2819
0.2502	86.0	9718	0.4821	81.0753	78.0443	80.977	81.0585	14.1628
0.2502	87.0	9831	0.4836	81.0502	78.0125	80.9437	81.0227	14.1829
0.2502	88.0	9944	0.4867	81.0832	78.0581	80.9885	81.0629	14.2232
0.2474	89.0	10057	0.4885	80.8361	77.8075	80.7644	80.8113	14.245
0.2474	90.0	10170	0.4926	80.9648	77.9656	80.8858	80.9429	14.3758
0.2474	91.0	10283	0.4862	81.0499	77.9909	80.9529	81.0251	14.1594
0.2474	92.0	10396	0.4885	80.9683	77.9313	80.8599	80.9175	14.2735
0.2381	93.0	10509	0.4858	80.964	77.9419	80.8997	80.9494	14.3272
0.2381	94.0	10622	0.4891	80.7479	77.6563	80.6516	80.7074	14.3993
0.2381	95.0	10735	0.4909	80.7166	77.5902	80.5996	80.6605	14.2651
0.2381	96.0	10848	0.4845	81.174	78.0743	81.0369	81.0988	14.099
0.2381	97.0	10961	0.4886	80.8086	77.7071	80.7341	80.7905	14.2131
0.2387	98.0	11074	0.4932	80.8045	77.7326	80.7178	80.767	14.4245
0.2387	99.0	11187	0.4890	80.8664	77.7815	80.7817	80.8381	14.2886
0.2387	100.0	11300	0.4843	80.742	77.6378	80.636	80.6881	13.9463
0.2387	101.0	11413	0.4900	80.5951	77.4218	80.4692	80.5166	14.2131
0.2343	102.0	11526	0.4933	80.9176	77.8813	80.7994	80.8637	14.2047
0.2343	103.0	11639	0.4936	80.8901	77.8476	80.7945	80.8447	14.1812
0.2343	104.0	11752	0.4955	80.9422	77.9055	80.8414	80.8666	14.2634
0.2343	105.0	11865	0.4971	80.9296	77.8819	80.8107	80.8588	14.2617
0.2343	106.0	11978	0.4968	80.8841	77.8315	80.7829	80.8081	14.2735
0.2309	107.0	12091	0.4949	80.8845	77.831	80.766	80.8197	14.1862
0.2309	108.0	12204	0.4979	80.817	77.77	80.7009	80.7623	14.3104
0.2309	109.0	12317	0.4970	80.9426	77.884	80.8245	80.8849	14.1862
0.2309	110.0	12430	0.4951	80.8217	77.7436	80.7137	80.7638	14.2181
0.225	111.0	12543	0.4971	80.9686	77.908	80.8479	80.8945	14.1846
0.225	112.0	12656	0.4998	80.7005	77.6143	80.5708	80.6458	14.1711
0.225	113.0	12769	0.5010	80.6586	77.5568	80.5494	80.6194	14.0872
0.225	114.0	12882	0.5020	80.5762	77.4938	80.4571	80.5458	14.2013
0.225	115.0	12995	0.4950	80.7756	77.6717	80.6326	80.7221	14.0671
0.2248	116.0	13108	0.4974	80.6474	77.5174	80.5385	80.5867	14.1527
0.2248	117.0	13221	0.5002	80.6698	77.5889	80.5657	80.6265	14.2567
0.2248	118.0	13334	0.4998	80.5252	77.4293	80.4052	80.4697	14.2466
0.2248	119.0	13447	0.4994	80.4945	77.381	80.4047	80.4778	14.1527
0.2244	120.0	13560	0.5007	80.687	77.5655	80.5506	80.6345	14.0889
0.2244	121.0	13673	0.5003	80.6725	77.5569	80.5444	80.6284	14.0889
0.2244	122.0	13786	0.5012	80.5519	77.4681	80.4309	80.5167	14.2064
0.2244	123.0	13899	0.4984	80.5439	77.4156	80.4356	80.5053	14.1091
0.2142	124.0	14012	0.5003	80.506	77.3663	80.3909	80.4609	14.1258
0.2142	125.0	14125	0.5012	80.5929	77.47	80.4856	80.5471	14.1057
0.2142	126.0	14238	0.5015	80.8261	77.7005	80.7021	80.7576	14.1846
0.2142	127.0	14351	0.4989	80.7286	77.6025	80.6101	80.6584	14.1309
0.2142	128.0	14464	0.4995	80.7703	77.6574	80.6209	80.7013	14.2047
0.2239	129.0	14577	0.5030	80.7682	77.6334	80.6326	80.7075	14.2685
0.2239	130.0	14690	0.5017	80.8383	77.7289	80.7019	80.7832	14.1997
0.2239	131.0	14803	0.5007	80.8551	77.7449	80.7238	80.7909	14.1359
0.2239	132.0	14916	0.5004	80.9042	77.8065	80.762	80.8351	14.1191
0.2139	133.0	15029	0.5001	80.9345	77.8301	80.784	80.8658	14.1107
0.2139	134.0	15142	0.5023	80.8865	77.7869	80.7474	80.8159	14.1174
0.2139	135.0	15255	0.5036	80.8305	77.7027	80.709	80.7658	14.1812
0.2139	136.0	15368	0.5027	80.8305	77.7027	80.709	80.7658	14.1812
0.2139	137.0	15481	0.5029	80.801	77.6711	80.6703	80.7443	14.1862
0.2152	138.0	15594	0.5022	80.9639	77.8473	80.8252	80.8959	14.1544
0.2152	139.0	15707	0.5033	80.9216	77.8092	80.7903	80.8622	14.1594
0.2152	140.0	15820	0.5034	80.8977	77.7878	80.7642	80.8317	14.1628
0.2152	141.0	15933	0.5030	80.8977	77.7878	80.7642	80.8317	14.1628
0.2187	142.0	16046	0.5024	80.6562	77.5245	80.5202	80.6065	14.0923
0.2187	143.0	16159	0.5031	80.8168	77.7025	80.686	80.7553	14.1326
0.2187	144.0	16272	0.5031	80.6336	77.4867	80.4892	80.5611	14.1023
0.2187	145.0	16385	0.5038	80.8002	77.6863	80.6746	80.7336	14.1393
0.2187	146.0	16498	0.5040	80.8977	77.7878	80.7642	80.8317	14.1628
0.2166	147.0	16611	0.5039	80.8977	77.7878	80.7642	80.8317	14.1628
0.2166	148.0	16724	0.5038	80.8002	77.6863	80.6746	80.7336	14.1393
0.2166	149.0	16837	0.5039	80.8002	77.6863	80.6746	80.7336	14.1393
0.2166	150.0	16950	0.5039	80.8002	77.6863	80.6746	80.7336	14.1393

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Badri96/t5-small-finetuned-xsum

t5-small-finetuned-xsum

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Badri96/
t5-small-finetuned-xsum