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
6.7874	1.0	1209	3.3081	13.8568	5.3053	13.2999	13.2358
3.9088	2.0	2418	3.1782	16.3678	8.6126	15.9378	15.9707
3.5883	3.0	3627	3.1074	17.862	8.7925	17.2359	17.1558
3.4174	4.0	4836	3.0686	17.2836	8.8083	16.6237	16.6587
3.3103	5.0	6045	3.0487	16.4615	7.9347	15.9351	15.9312
3.251	6.0	7254	3.0379	16.9982	8.1573	16.5562	16.5036
3.2022	7.0	8463	3.0252	17.4796	8.4263	17.0159	16.9812
3.1725	8.0	9672	3.0283	17.0616	8.1283	16.6434	16.5615

bbitra1/mt5-small-finetuned-amazon-en-es

mt5-small-finetuned-amazon-en-es