learning_rate: 1e-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: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	124	2.8492	0.13	0.0388	0.1087	0.1089	20.0
No log	2.0	248	2.6212	0.1398	0.0499	0.1155	0.1152	20.0
No log	3.0	372	2.5327	0.148	0.0567	0.1237	0.1235	20.0
No log	4.0	496	2.4869	0.1627	0.0672	0.1345	0.1343	20.0
3.0124	5.0	620	2.4531	0.1842	0.0819	0.152	0.1518	20.0
3.0124	6.0	744	2.4297	0.194	0.088	0.1616	0.1617	20.0
3.0124	7.0	868	2.4147	0.1981	0.0934	0.1666	0.1665	20.0
3.0124	8.0	992	2.4061	0.2022	0.098	0.1705	0.1705	20.0
2.6076	9.0	1116	2.4001	0.2025	0.0983	0.1707	0.1707	20.0
2.6076	10.0	1240	2.3984	0.2025	0.0983	0.1707	0.1707	20.0

koh43/t5-small-summarize-billsum

t5-small-summarize-billsum