pytorch en license:mit region:us
---
language: en
license: mit
library_name: pytorch
---
# 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|
