bart_extractive_512_500

This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Wer
No log	0.13	250	1.2262	0.6523	0.3774	0.5876	0.5877	0.5064
2.0992	0.27	500	1.1233	0.6736	0.4029	0.6091	0.6091	0.4868
2.0992	0.4	750	1.1033	0.6826	0.4152	0.6187	0.6188	0.4768
1.1914	0.53	1000	1.0645	0.6812	0.4159	0.6178	0.618	0.4713
1.1914	0.66	1250	1.0493	0.6845	0.4206	0.6217	0.6219	0.4673
1.1319	0.8	1500	1.0348	0.6906	0.427	0.6292	0.6292	0.4649
1.1319	0.93	1750	1.0227	0.6893	0.4289	0.6286	0.6287	0.4596
1.0853	1.06	2000	1.0093	0.6898	0.4297	0.6298	0.6298	0.4575
1.0853	1.2	2250	1.0045	0.6981	0.4381	0.6376	0.6377	0.4547
0.9975	1.33	2500	0.9967	0.6964	0.4394	0.6368	0.6369	0.4511
0.9975	1.46	2750	0.9863	0.6995	0.4419	0.6401	0.6403	0.4495
0.997	1.6	3000	0.9844	0.7016	0.4441	0.642	0.6421	0.4483
0.997	1.73	3250	0.9819	0.6982	0.4431	0.6399	0.64	0.4476
0.9651	1.86	3500	0.9746	0.6994	0.4441	0.6404	0.6406	0.4456
0.9651	1.99	3750	0.9749	0.7	0.4441	0.6408	0.6409	0.4458