Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
|---|---|
| name | AdamWeightDecay |
| learning_rate.class_name | WarmUp |
| learning_rate.config.initial_learning_rate | 0.0002 |
| learning_rate.config.decay_schedule_fn.class_name | PolynomialDecay |
| learning_rate.config.decay_schedule_fn.config.initial_learning_rate | 0.0002 |
| learning_rate.config.decay_schedule_fn.config.decay_steps | 22180 |
| learning_rate.config.decay_schedule_fn.config.end_learning_rate | 0.0 |
| learning_rate.config.decay_schedule_fn.config.power | 1.0 |
| learning_rate.config.decay_schedule_fn.config.cycle | False |
| learning_rate.config.decay_schedule_fn.config.name | None |
| learning_rate.config.decay_schedule_fn.passive_serialization | True |
| learning_rate.config.warmup_steps | 2 |
| learning_rate.config.power | 1.0 |
| learning_rate.config.name | None |
| decay | 0.0 |
| beta_1 | 0.8999999761581421 |
| beta_2 | 0.9990000128746033 |
| epsilon | 1e-08 |
| amsgrad | False |
| weight_decay_rate | 0.01 |
| training_precision | float32 |
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