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