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` = 1.0
- `alpha` = 1.0
- `beta` = 1.0

Extended Logs:

|eval_loss|eval_accuracy|epoch|
|--|--|--|
|1.125|0.381|1.0|
|1.109|0.407|2.0|
|1.104|0.421|3.0|
|1.090|0.429|4.0|
|1.083|0.436|5.0|
|1.099|0.425|6.0|
|1.069|0.452|7.0|
|1.081|0.453|8.0|
|1.087|0.442|9.0|
|1.084|0.445|10.0|
|1.082|0.452|11.0|
|1.087|0.447|12.0|
|1.076|0.459|13.0|
|1.082|0.446|14.0|

**Test Accuracy: 0.452**