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: 15

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	27	4.3352	0.2549	0.137	0.219	0.219	19.0
No log	2.0	54	1.1426	0.021	0.0122	0.0179	0.0179	1.4074
No log	3.0	81	1.0385	0.0	0.0	0.0	0.0	0.0
No log	4.0	108	1.0166	0.0	0.0	0.0	0.0	0.0
No log	5.0	135	0.9971	0.0	0.0	0.0	0.0	0.0
No log	6.0	162	0.9746	0.0	0.0	0.0	0.0	0.0
No log	7.0	189	0.9508	0.0	0.0	0.0	0.0	0.0
No log	8.0	216	0.9301	0.0	0.0	0.0	0.0	0.0
No log	9.0	243	0.9135	0.0	0.0	0.0	0.0	0.0
No log	10.0	270	0.8984	0.0379	0.0256	0.0336	0.0339	1.9352
No log	11.0	297	0.8892	0.0437	0.0294	0.0393	0.0391	2.287
No log	12.0	324	0.8821	0.0491	0.0319	0.0441	0.0443	2.6389
No log	13.0	351	0.8764	0.0537	0.0331	0.0479	0.048	2.9907
No log	14.0	378	0.8730	0.0621	0.0389	0.0557	0.0558	3.5185
No log	15.0	405	0.8721	0.0621	0.0389	0.0557	0.0558	3.5185

DmitryChernoskutov1989/T5Model_for_Ecommerce

T5Model_for_Ecommerce