summarise_v4

This model is a fine-tuned version of allenai/led-base-16384 on the multi_news dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
2.9616	0.08	10	2.8008	0.0552	0.1944	0.0844
2.7112	0.16	20	2.7017	0.1099	0.1212	0.1078
2.6842	0.24	30	2.6653	0.119	0.1252	0.1157
2.4638	0.32	40	2.6306	0.1386	0.1153	0.1222
2.646	0.4	50	2.6099	0.1449	0.1095	0.122
2.5128	0.48	60	2.5945	0.1259	0.1484	0.1313
2.6737	0.56	70	2.5832	0.1192	0.1252	0.118
2.614	0.64	80	2.5616	0.1288	0.1179	0.1193
2.4643	0.72	90	2.5612	0.1371	0.1227	0.124
2.3164	0.8	100	2.5606	0.1372	0.1177	0.1223
2.4514	0.88	110	2.5339	0.1412	0.1276	0.128
2.8113	0.96	120	2.5264	0.1349	0.1187	0.1227