learning_rate: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 3

Training Loss	Epoch	Step	Validation Loss
2.6992	0.2216	500	0.5775
0.4807	0.4433	1000	0.4035
0.4021	0.6649	1500	0.3261
0.3681	0.8865	2000	0.2879
0.3256	1.1082	2500	0.2747
0.2796	1.3298	3000	0.2665
0.2769	1.5514	3500	0.2552
0.2709	1.7730	4000	0.2607
0.267	1.9947	4500	0.2494
0.2065	2.2163	5000	0.2641
0.1988	2.4379	5500	0.2551
0.2031	2.6596	6000	0.2519
0.1973	2.8812	6500	0.2502

nqdhocai/flan-t5-base-openie

flan-t5-base-openie