kennethge123/imdb-t5-base-a2b2l0.01

Knowledge Continuity Regularized Network

Trainer Hyperparameters:

• lr = 5e-05
• per_device_batch_size = 8
• gradient_accumulation_steps = 2
• weight_decay = 1e-09
• seed = 42

Regularization Hyperparameters

• numerical stability denominator constant = 0.001
• lambda = 0.01
• alpha = 2.0
• beta = 2.0

Extended Logs:

eval_loss	eval_accuracy	epoch
14.625	0.792	0.67
13.757	0.792	2.0
13.403	0.792	2.67
13.166	0.792	4.0
13.001	0.792	4.67
12.786	0.792	6.0
12.670	0.792	6.67
12.480	0.792	8.0
12.372	0.792	8.67
12.122	0.833	10.0
12.015	0.833	10.67
11.880	0.833	12.0
11.840	0.833	12.67