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
6.9675	1.0	1209	3.2986	15.3558	6.9018	14.8227	14.7463
3.8997	2.0	2418	3.1665	16.3796	7.5579	15.7849	15.753
3.5826	3.0	3627	3.1106	17.1557	8.3141	16.5344	16.4146
3.421	4.0	4836	3.0963	17.1977	8.6135	16.883	16.7751
3.3089	5.0	6045	3.0490	16.5905	7.5245	16.2274	16.1169
3.2437	6.0	7254	3.0401	16.5142	7.7338	16.0846	15.9356
3.2133	7.0	8463	3.0292	16.1908	7.504	15.9682	15.8835
3.1851	8.0	9672	3.0303	16.5222	7.5029	16.1498	15.9968

Ashley-62/mt5-small-finetuned-amazon-en-es

mt5-small-finetuned-amazon-en-es