learning_rate: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.8871	1.0	18	3.6566	10.3421	1.0443	8.0244	8.9345
2.8986	2.0	36	3.6589	14.5319	4.3193	12.1301	13.4717
2.9202	3.0	54	3.6687	17.1853	5.7405	14.1799	16.5628
2.9672	4.0	72	3.6369	16.4974	5.7616	13.6745	15.2608
3.0131	5.0	90	3.6205	13.6482	3.6365	10.9636	12.1308
3.1446	6.0	108	3.6004	14.0123	3.1109	11.0727	12.7497
3.3982	7.0	126	3.5745	16.7604	5.3651	13.9214	15.5052
3.4486	8.0	144	3.5625	15.482	4.6047	12.9728	14.1462

GloriaABK1/mt5-small-finetuned-norwegian

mt5-small-finetuned-norwegian