learning_rate: 1e-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
4.0511	0.8333	40	3.4679	0.3889	0.1606	0.2546	0.2544	76.5053	0.8751
3.5797	1.6667	80	3.2230	0.3977	0.1652	0.2577	0.2572	83.4368	0.8754
3.412	2.5	120	3.1147	0.4011	0.1665	0.2601	0.2595	86.7526	0.8758
3.4241	3.3333	160	3.0614	0.4082	0.1739	0.2624	0.2622	89.2895	0.877
3.3084	4.1667	200	3.0368	0.4066	0.1733	0.2633	0.2639	89.6579	0.8769
3.3262	5.0	240	3.0291	0.4097	0.1755	0.265	0.265	91.6842	0.8773

miasetya/fine_tuned_t5_small_model_sec_5_v8

fine_tuned_t5_small_model_sec_5_v8