Fantastic Pretraining Optimizers and Where to Find Them
Paper
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2509.02046
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Published
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13
mars520m42B| Hyperparameter | Value |
|---|---|
| beta1 | 0.95 |
| beta2 | 0.98 |
| epsilon | 9.999999999999999e-26 |
| gamma | 0.025 |
| learning_rate | 0.008 |
| max_grad_norm | 1 |
| min_lr_ratio | 0 |
| train_batch_size | 256 |
| warmup | 2000 |
| weight_decay | 0.1 |