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|
|--|--|--|
|1.147|0.382|1.0|
|1.141|0.388|2.0|
|1.117|0.417|3.0|
|1.136|0.404|4.0|
|1.141|0.392|5.0|
|1.132|0.406|6.0|
|1.107|0.432|7.0|
|1.108|0.427|8.0|
|1.118|0.417|9.0|
|1.109|0.429|10.0|
|1.100|0.440|11.0|
|1.104|0.441|12.0|
|1.099|0.442|13.0|
|1.095|0.444|14.0|
|1.110|0.432|15.0|
|1.105|0.439|16.0|
|1.097|0.448|17.0|
|1.096|0.444|18.0|
|1.097|0.449|19.0|
