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|
|--|--|--|
|1.108|0.400|1.0|
|1.100|0.417|2.0|
|1.116|0.409|3.0|
|1.110|0.418|4.0|
|1.078|0.457|5.0|
|1.113|0.420|6.0|
|1.103|0.425|7.0|
|1.091|0.451|8.0|
|1.108|0.426|9.0|
|1.090|0.453|10.0|
|1.105|0.432|11.0|
|1.103|0.432|12.0|
|1.096|0.449|13.0|
|1.092|0.452|14.0|
|1.094|0.444|15.0|
|1.098|0.446|16.0|
|1.099|0.440|17.0|
|1.099|0.441|18.0|
|1.096|0.452|19.0|

**Test Accuracy: 0.452**