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|
|--|--|--|
|34.947|0.335|1.0|
|34.936|0.330|2.0|
|34.925|0.337|3.0|
|34.925|0.335|4.0|
|34.924|0.335|5.0|
|34.922|0.327|6.0|
|34.923|0.338|7.0|
|34.924|0.330|8.0|
|34.922|0.335|9.0|

**Test Accuracy: 0.338**