learning_rate: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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
5.97	1.0	2202	3.2260	9.8577	3.6445	9.7485	9.7848
3.647	2.0	4404	3.0734	11.4598	4.3082	11.3677	11.4138
3.3891	3.0	6606	3.0070	12.0211	4.3801	11.7115	11.7438
3.2655	4.0	8808	2.9878	11.8522	4.3727	11.6773	11.7271
3.1735	5.0	11010	2.9825	12.6673	4.3875	12.5586	12.6202
3.1156	6.0	13212	2.9798	13.0236	5.2414	12.8478	12.9195
3.0672	7.0	15414	2.9771	12.6105	4.8806	12.5344	12.545
3.044	8.0	17616	2.9719	12.8375	4.873	12.7298	12.7317

kclayto1/mt5-small-finetuned-amazon-en-es

mt5-small-finetuned-amazon-en-es