learning_rate: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
7.3296	1.0	359	3.3443	17.157	5.0252	13.7241	15.2096
3.7963	2.0	718	3.1227	19.3565	6.4323	16.2667	17.6293
3.466	3.0	1077	3.0429	20.6042	7.4904	18.0103	18.8393
3.3056	4.0	1436	2.9962	20.0641	7.5242	17.4293	18.251
3.1929	5.0	1795	3.0064	19.9075	6.7477	17.4271	18.1428
3.1217	6.0	2154	2.9834	20.206	7.3608	18.0178	18.8707
3.0865	7.0	2513	2.9700	20.5888	7.7139	18.2165	19.2697
3.0566	8.0	2872	2.9656	20.2011	7.4122	17.8564	18.8766

Miladsaeedi70/mt5-small-finetuned-cnn_dailymail

mt5-small-finetuned-amazon-en-es