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ldos/
text_shortening_model_v15

Name: text_shortening_model_v15
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text_shortening_model_v15

This model is a fine-tuned version of t5-small 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	Rouge1	Rouge2	Rougel	Rougelsum	Bert precision	Bert recall	Average word count	Max word count	Min word count	Average token count	% shortened texts with length > 12
1.1859	1.0	62	1.6707	0.5171	0.3003	0.4648	0.4666	0.8787	0.8819	11.25	18	5	16.35	36.4286