anliR2-bert-base-uncased-alum – AI Model by asun17904 | AlphaNeural AI

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asun17904/
anliR2-bert-base-uncased-alum

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Knowledge Continuity Regularized Network

Dataset: ANLI Round: None

Trainer Hyperparameters:

lr = 5e-05
per_device_batch_size = 16
gradient_accumulation_steps = 1
weight_decay = 1e-09
seed = 42

Regularization Hyperparameters

numerical stability denominator constant = 1.0
lambda = 1.0
alpha = 1.0
beta = 1.0

Extended Logs:

eval_loss	eval_accuracy	epoch
1.117	0.391	1.0
1.106	0.418	2.0
1.093	0.434	3.0
1.072	0.464	4.0
1.098	0.434	5.0
1.084	0.453	6.0
1.088	0.447	7.0
1.080	0.459	8.0
1.099	0.440	9.0
1.075	0.468	10.0
1.078	0.460	11.0
1.079	0.465	12.0
1.082	0.463	13.0
1.091	0.449	14.0
1.082	0.458	15.0
1.086	0.456	16.0
1.089	0.450	17.0
1.082	0.467	18.0