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roequitz/
t5-abs-2309-1054-lr-0.001-bs-5-maxep-20

Name: t5-abs-2309-1054-lr-0.001-bs-5-maxep-20
Availability: InStock

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t5-abs-2309-1054-lr-0.001-bs-5-maxep-20

This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Rouge/rouge1	Rouge/rouge2	Rouge/rougel	Rouge/rougelsum	Bertscore/bertscore-precision	Bertscore/bertscore-recall	Bertscore/bertscore-f1	Meteor	Gen Len
0.6833	1.0	87	2.2550	0.4516	0.2098	0.3797	0.3798	0.8907	0.8965	0.8934	0.4298	44.7818
0.5046	2.0	174	2.4082	0.4581	0.2105	0.3884	0.3894	0.8959	0.8952	0.8954	0.4107	40.2727
0.4865	3.0	261	2.3052	0.4316	0.173	0.3543	0.3558	0.8888	0.8913	0.8899	0.3841	43.1727
0.5507	4.0	348	2.5197	0.4394	0.1772	0.3647	0.3662	0.8906	0.8916	0.8909	0.3934	42.0727
0.5415	5.0	435	2.5319	0.4398	0.1786	0.3644	0.3657	0.8909	0.8917	0.8911	0.394	41.9364
0.536	6.0	522	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.5393	7.0	609	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.5442	8.0	696	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.5562	9.0	783	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.5472	10.0	870	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.5328	11.0	957	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.5575	12.0	1044	2.5320	0.4395	0.1786	0.3645	0.3658	0.8909	0.8917	0.8911	0.3935	41.9182
0.8917	13.0	1131	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	14.0	1218	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	15.0	1305	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	16.0	1392	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	17.0	1479	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	18.0	1566	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	19.0	1653	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
0.0	20.0	1740	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0