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: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	200	1.9528	0.3844	0.1567	0.3184	0.3182	16.1362
No log	2.0	400	1.9221	0.3885	0.1613	0.3212	0.321	16.3325
2.0996	3.0	600	1.9072	0.3936	0.1661	0.3264	0.3259	16.2288
2.0996	4.0	800	1.8930	0.3984	0.1678	0.3295	0.3292	16.3375
2.0297	5.0	1000	1.8860	0.4005	0.1708	0.333	0.3329	16.355
2.0297	6.0	1200	1.8780	0.4023	0.1726	0.3341	0.3342	16.3375
2.0297	7.0	1400	1.8738	0.4025	0.1723	0.3347	0.3346	16.4275
1.9894	8.0	1600	1.8701	0.4064	0.1757	0.3369	0.3369	16.495
1.9894	9.0	1800	1.8706	0.4061	0.1767	0.3375	0.3375	16.4825
1.9735	10.0	2000	1.8701	0.4055	0.1762	0.3372	0.337	16.4738

Jiraheya/samsum_model_t5_small_10_epochs

samsum_model_t5_small_10_epochs