anliR2-t5-base-alum – AI Model by asun17904 | AlphaNeural AI

You can deploy this model and start earning money today!

asun17904/
anliR2-t5-base-alum

like

0

Views

No views yet

Knowledge Continuity Regularized Network

Dataset: ANLI Round: None

Trainer Hyperparameters:

lr = 5e-05
per_device_batch_size = 4
gradient_accumulation_steps = 4
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
1.140	0.389	1.0
1.127	0.407	2.0
1.126	0.409	3.0
1.130	0.401	4.0
1.122	0.414	5.0
1.110	0.431	6.0
1.114	0.427	7.0
1.109	0.433	8.0
1.102	0.440	9.0
1.093	0.451	10.0
1.085	0.459	11.0
1.096	0.448	12.0
1.092	0.449	13.0
1.094	0.449	14.0

Test Accuracy: 0.448