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` = 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**