learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Bert F1
3.7935	0.8333	40	3.2861	0.4017	0.1617	0.2553	0.2555	85.1947	0.8757
3.4033	1.6667	80	3.0832	0.4134	0.1674	0.2577	0.258	96.5105	0.8765
3.2373	2.5	120	3.0022	0.4197	0.1746	0.2653	0.2655	100.2632	0.8777
3.1774	3.3333	160	2.9664	0.4146	0.1695	0.262	0.2619	98.3895	0.8773
3.1783	4.1667	200	2.9495	0.4151	0.1708	0.2633	0.2633	97.4684	0.878
3.1614	5.0	240	2.9444	0.4164	0.1713	0.2629	0.263	97.6789	0.8782

miasetya/fine_tuned_t5_small_model_sec_5_v7

fine_tuned_t5_small_model_sec_5_v7