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---
language: en
license: mit
library_name: pytorch
---
# Knowledge Continuity Regularized Network
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` = 0.001
- `lambda` = 0.01
- `alpha` = 2.0
- `beta` = 2.0
Extended Logs:
|eval_loss|eval_accuracy|epoch|
|--|--|--|
|14.430|0.792|0.67|
|14.131|0.792|2.0|
|13.810|0.875|2.67|
|13.640|0.875|4.0|
|13.667|0.875|4.67|
|13.247|0.875|6.0|
|12.928|0.875|6.67|
|12.673|0.875|8.0|
|12.596|0.875|8.67|
|12.450|0.875|10.0|
|12.382|0.875|10.67|
|12.298|0.875|12.0|
|12.289|0.875|12.67|
|