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` = 8
- `gradient_accumulation_steps` = 2
- `weight_decay` = 1e-09
- `seed` = 42

Regularization Hyperparameters
- `numerical stability denominator constant` = 1.0
- `lambda` = 0.0
- `alpha` = 1.0
- `beta` = 1.0

Extended Logs:

|eval_loss|eval_accuracy|epoch|
|--|--|--|
|1.102|0.429|1.0|
|1.076|0.451|2.0|
|1.092|0.443|3.0|
|1.092|0.441|4.0|
|1.098|0.438|5.0|
|1.104|0.437|6.0|
|1.094|0.443|7.0|
|1.095|0.448|8.0|
|1.110|0.434|9.0|
