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apwic/
summarization-lora-2

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summarization-lora-2

This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on an unknown 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	Rougel	Rougelsum	Gen Len
0.7823	1.0	894	0.5092	0.6551	0.6537	0.6535	1.0
0.6005	2.0	1788	0.4769	0.6706	0.6693	0.6688	1.0
0.5564	3.0	2682	0.4768	0.6725	0.6709	0.6731	1.0
0.5269	4.0	3576	0.4667	0.6722	0.6726	0.6742	1.0
0.5061	5.0	4470	0.4683	0.6725	0.6711	0.6719	1.0