learning_rate: 5.6e-05
train_batch_size: 32
eval_batch_size: 32
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
No log	1.0	303	4.1931	5.7223	1.2656	5.5538	5.5575
No log	2.0	606	3.3284	10.6092	2.2017	10.4709	10.4227
No log	3.0	909	3.2566	13.6575	4.6938	13.3543	13.3219
5.92	4.0	1212	3.1976	13.9965	4.9638	13.4642	13.4203
5.92	5.0	1515	3.1850	15.6112	5.0982	14.8932	14.8245
5.92	6.0	1818	3.1602	14.9109	5.2255	14.4425	14.3098
5.92	7.0	2121	3.1454	15.5771	5.8869	15.006	15.002
3.7023	8.0	2424	3.1419	15.5934	5.6761	14.9619	14.9916

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

mt5-small-finetuned-amazon-en-es