learning_rate: 0.00012
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
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	125	8.9860	0.0001	0.0	0.0001	0.0001	128.0
No log	2.0	250	4.6968	0.0003	0.0	0.0003	0.0003	6.03
No log	3.0	375	2.1255	0.3438	0.1455	0.2441	0.244	59.47
4.6248	4.0	500	2.0897	0.3655	0.1422	0.2406	0.2406	74.99
4.6248	5.0	625	2.2833	0.3719	0.1478	0.2556	0.2556	63.32
4.6248	6.0	750	2.5902	0.403	0.1733	0.2897	0.2888	69.98
4.6248	7.0	875	2.8833	0.3853	0.1653	0.2763	0.275	68.1
0.3428	8.0	1000	3.0268	0.3915	0.1678	0.2819	0.2808	65.49

NastasiaM/mbart_cnn_summarization_model_1K_8ep_1.2e-4_batch_8

mbart_cnn_summarization_model_1K_8ep_1.2e-4_batch_8