Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3761	0.23	400	0.3325	86.7053	79.1321	86.1593	86.1958	14.8864
0.3516	0.45	800	0.3201	86.8076	79.1282	86.2981	86.3209	14.8781
0.3401	0.68	1200	0.3187	86.479	78.6505	85.9172	85.9585	14.8800
0.3283	0.9	1600	0.3123	87.0781	79.8175	86.6213	86.6385	14.8832
0.2395	1.13	2000	0.3278	86.7979	79.3766	86.3314	86.3581	14.9046
0.1817	1.35	2400	0.3170	86.8343	79.4019	86.3148	86.3232	14.8964
0.1962	1.58	2800	0.3138	86.8702	79.425	86.3412	86.36	14.9069
0.1971	1.81	3200	0.3191	86.8355	79.3178	86.2974	86.322	14.8809
0.1816	2.03	3600	0.3490	87.0986	79.7312	86.6108	86.6227	14.9142
0.0975	2.26	4000	0.3534	86.7684	79.3649	86.2755	86.2885	14.9069
0.1033	2.48	4400	0.3536	86.8978	79.714	86.4135	86.435	14.9302
0.1086	2.71	4800	0.3553	86.6286	79.3293	86.1381	86.1686	14.9078
0.1141	2.93	5200	0.3530	86.8452	79.4178	86.2927	86.3239	14.9010
0.076	3.16	5600	0.4088	86.992	79.8179	86.5124	86.5186	14.9096
0.0595	3.39	6000	0.4052	86.8874	79.6302	86.3643	86.3784	14.9101
0.0606	3.61	6400	0.4051	86.9236	79.5305	86.3715	86.3959	14.9101
0.0653	3.84	6800	0.3860	86.8353	79.541	86.3249	86.3292	14.9165
0.0553	4.06	7200	0.4229	86.7788	79.5444	86.3393	86.3468	14.8868
0.0339	4.29	7600	0.4478	86.6863	79.5215	86.216	86.2363	14.9133
0.0375	4.51	8000	0.4359	86.8412	79.668	86.3237	86.3349	14.9229
0.0376	4.74	8400	0.4459	86.8836	79.682	86.3993	86.4062	14.9069
0.0372	4.97	8800	0.4324	86.6833	79.5114	86.1856	86.2031	14.9197
0.023	5.19	9200	0.4930	86.9595	79.8244	86.4103	86.4373	14.9279
0.0211	5.42	9600	0.4927	87.0212	79.8707	86.5054	86.5117	14.9320
0.0215	5.64	10000	0.4915	86.9495	79.8479	86.458	86.4632	14.9115
0.0205	5.87	10400	0.4919	86.8966	79.7666	86.424	86.4482	14.9069
0.0169	6.09	10800	0.5415	87.1119	80.0504	86.6205	86.6255	14.9083
0.0116	6.32	11200	0.5767	87.1828	80.2547	86.6809	86.6742	14.9215
0.0113	6.55	11600	0.5799	87.2494	80.2853	86.7412	86.761	14.9147
0.0103	6.77	12000	0.6036	87.1081	80.1873	86.6086	86.6176	14.9251
0.0106	7.0	12400	0.5821	87.1489	80.1987	86.654	86.6694	14.9242
0.0064	7.22	12800	0.6325	87.2026	80.2043	86.6988	86.704	14.9197
0.0056	7.45	13200	0.6878	87.184	80.1382	86.6798	86.7049	14.9188
0.0061	7.67	13600	0.6888	87.2465	80.1602	86.7407	86.7459	14.9201
0.0057	7.9	14000	0.6922	87.2584	80.2614	86.7806	86.7948	14.9201

Framework versions

Transformers 4.28.1
Pytorch 1.11.0a0+b6df043
Datasets 2.12.0
Tokenizers 0.13.3

jeremyvictor/flan-t5-large-fce-e8-b16

flan-t5-large-fce-e8-b16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jeremyvictor/
flan-t5-large-fce-e8-b16