learning_rate: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
6.9537	1.0	1276	3.5355	13.6323	5.6987	13.1154	13.0853
4.0575	2.0	2552	3.3751	13.7918	5.5182	13.0099	12.9962
3.7541	3.0	3828	3.3480	15.6574	6.4522	15.0398	15.0655
3.5756	4.0	5104	3.3140	14.5606	5.7042	13.9241	13.94
3.4765	5.0	6380	3.2833	14.4419	5.6572	14.0929	14.1116
3.4123	6.0	7656	3.2621	14.8108	6.2846	14.1938	14.1736
3.3623	7.0	8932	3.2582	15.1422	6.3557	14.5775	14.5286
3.3390	8.0	10208	3.2592	14.8917	6.2159	14.3496	14.3149

jniechcial/mt5-small-finetuned-amazon-en-de

mt5-small-finetuned-amazon-en-de