imdb-t5-base-a1b2 – AI Model by asun17904 | AlphaNeural AI

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asun17904/
imdb-t5-base-a1b2

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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 = 0.01
lambda = 0.02
alpha = 1.0
beta = 2.0

Extended Logs:

eval_loss	eval_accuracy	epoch
11.994	0.936	1.0
11.877	0.941	2.0
11.963	0.939	3.0
11.879	0.941	4.0
11.783	0.945	5.0
11.723	0.946	6.0
11.880	0.941	7.0
11.739	0.946	8.0
11.663	0.948	9.0
11.671	0.948	10.0
11.658	0.948	11.0
11.637	0.949	12.0
11.687	0.948	13.0
11.685	0.948	14.0
11.804	0.944	15.0
11.721	0.947	16.0
11.607	0.950	17.0
11.713	0.947	18.0
11.683	0.948	19.0
11.658	0.949	20.0
11.636	0.949	21.0
11.700	0.947	22.0
11.601	0.950	23.0
11.821	0.944	24.0
11.587	0.951	25.0
11.623	0.950	26.0
11.640	0.949	27.0
11.627	0.950	28.0
11.621	0.950	29.0
11.651	0.949	30.0
11.597	0.951	31.0
11.650	0.949	32.0
11.651	0.949	33.0
11.642	0.949	34.0
11.637	0.949	35.0
11.593	0.951	36.0
11.615	0.950	37.0
11.594	0.951	38.0
11.646	0.949	39.0
11.631	0.950	40.0
11.635	0.949	41.0
11.605	0.950	42.0
11.629	0.949	43.0
11.638	0.949	44.0
11.586	0.951	45.0
11.591	0.951	46.0
11.609	0.950	47.0
11.607	0.950	48.0
11.604	0.950	49.0