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
No log	1.0	375	3.3973	13.2147	5.664	12.6791	12.708
No log	2.0	750	3.3470	14.9313	5.9893	14.5366	14.498
No log	3.0	1125	3.3326	15.4038	6.4611	14.8518	14.8796
4.0962	4.0	1500	3.3054	16.2656	7.6845	15.6329	15.654
4.0962	5.0	1875	3.2649	16.5065	7.8317	16.1083	16.0494
4.0962	6.0	2250	3.2576	15.5709	7.0847	15.0057	14.9303
3.6143	7.0	2625	3.2551	16.0279	7.3884	15.5208	15.4709
3.6143	8.0	3000	3.2557	15.5038	7.0032	15.1708	15.182

Vigneshwar-colab/mt5-small-finetuned-amazon-en-es

mt5-small-finetuned-amazon-en-es