learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
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
3.8604	0.4211	40	3.2077	0.3522	0.1312	0.2314	0.2321	60.8684	0.8715
3.4406	0.8421	80	3.0222	0.3615	0.1333	0.2327	0.2331	70.9421	0.8725
3.2592	1.2632	120	2.9491	0.3796	0.1401	0.2392	0.2395	81.9421	0.8728
3.1817	1.6842	160	2.9082	0.3791	0.135	0.2382	0.2383	83.7579	0.873
3.1808	2.1053	200	2.8893	0.3817	0.1403	0.2433	0.2436	82.9211	0.8741
3.1333	2.5263	240	2.8745	0.3737	0.1365	0.2427	0.2431	80.8632	0.8735
3.1758	2.9474	280	2.8623	0.3751	0.142	0.245	0.2452	79.6526	0.8744
3.0898	3.3684	320	2.8559	0.3739	0.1407	0.2441	0.2443	80.1684	0.8741
3.1227	3.7895	360	2.8499	0.3739	0.1406	0.2458	0.2456	78.8789	0.8743
3.0641	4.2105	400	2.8467	0.3678	0.1368	0.2418	0.2418	78.2053	0.8691
3.0768	4.6316	440	2.8447	0.3701	0.1378	0.2427	0.2427	78.0105	0.8699

miasetya/fine_tuned_t5_small_model_sec_5_v5

fine_tuned_t5_small_model_sec_5_v5