Knowledge Continuity Regularized Network
Trainer Hyperparameters:
lr
= 5e-05per_device_batch_size
= 8gradient_accumulation_steps
= 2weight_decay
= 1e-09seed
= 42
Regularization Hyperparameters
numerical stability denominator constant
= 0.001lambda
= 0.01alpha
= 2.0beta
= 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 |
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