Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Bleu1	Bleu2	Bleu3	Bleu4	Gen Len
2.527	0.19	1000	3.0014	30.9895	9.5631	20.1782	25.4533	13.5291	7.1157	3.4483	50.2657
2.4214	0.38	2000	2.8814	32.3984	10.3443	21.2357	26.5661	14.5006	7.3531	3.5159	44.1538
2.3577	0.57	3000	2.8277	32.2306	10.5703	21.3959	26.4952	14.725	8.0596	4.2696	50.965
2.2606	0.76	4000	2.7749	33.0892	11.0109	21.4034	27.045	15.0797	8.2405	4.2337	48.1026
2.1508	0.94	5000	2.6841	33.1368	10.9332	21.9277	27.4808	15.2182	8.39	4.2468	46.0583
1.9467	1.13	6000	2.6994	33.2536	10.9192	21.851	26.7639	14.7669	8.1932	4.4866	42.7436
1.9267	1.32	7000	2.6743	35.335	12.5749	23.0923	29.4977	17.1053	9.9798	5.6851	54.2168
1.9402	1.51	8000	2.6549	34.7169	12.4365	22.8695	28.8948	16.8377	9.795	5.8984	53.8042
1.9457	1.7	9000	2.6198	34.1256	11.3508	22.7591	28.0771	15.6516	8.6198	4.5566	43.8252
1.9206	1.89	10000	2.6090	34.5521	12.0321	22.8654	28.268	16.2876	9.2697	4.9105	45.8205
1.6341	2.08	11000	2.6831	35.2143	12.748	23.2014	29.3413	17.2312	9.9515	5.5303	51.5338
1.6098	2.27	12000	2.6529	35.251	12.1877	23.3663	29.0609	16.6432	9.5808	5.2786	46.2378
1.6094	2.45	13000	2.6441	34.8683	12.0873	22.9699	28.9225	16.492	9.3451	5.1097	45.6131
1.6684	2.64	14000	2.6504	35.1897	12.0262	23.0832	28.948	16.4709	9.1994	5.0042	46.5245
1.6376	2.83	15000	2.6514	35.795	12.4779	23.2187	30.05	17.2789	9.984	5.4966	50.1119
1.3663	3.02	16000	2.7310	35.6544	12.109	23.3876	29.9268	16.945	9.4372	5.095	49.6317
1.3719	3.21	17000	2.7514	35.0663	11.8565	23.4224	28.8679	16.2846	9.3246	5.0154	45.3333
1.394	3.4	18000	2.7644	35.5883	12.2587	23.188	29.8503	17.0253	9.705	5.3253	47.4289
1.3615	3.59	19000	2.7535	35.3947	12.3879	23.355	29.4012	16.8473	9.6862	5.3268	48.7179
1.3544	3.78	20000	2.7480	35.7263	12.4434	23.6667	29.7146	17.0029	9.6018	5.2752	46.8834
1.3697	3.97	21000	2.7415	35.4189	12.1527	23.0022	29.6187	16.8477	9.5092	5.3766	50.3963
1.1718	4.15	22000	2.8251	35.0831	12.0809	22.8805	29.2252	16.5645	9.3818	5.241	46.7156
1.1955	4.34	23000	2.8158	35.7853	12.3885	23.821	29.7377	16.9635	9.7005	5.4376	47.5991
1.1795	4.53	24000	2.8265	35.4293	12.145	23.2029	29.6457	16.8228	9.7128	5.2525	49.5431
1.1835	4.72	25000	2.8254	35.499	11.9198	23.0859	29.4398	16.5715	9.2442	4.7663	47.8345
1.1644	4.91	26000	2.8283	35.819	12.1658	23.3058	29.6395	16.8254	9.5014	5.168	49.8625

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2

nlp04/kobart_8_5.6e-5_min30_lp5_sample_beams2

kobart_8_5.6e-5_min30_lp5_sample_beams2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nlp04/
kobart_8_5.6e-5_min30_lp5_sample_beams2