| library_name: keras | |
| ## 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 | adam | | |
| | learning_rate | 0.0010000000474974513 | | |
| | weight_decay | None | | |
| | clipnorm | None | | |
| | global_clipnorm | None | | |
| | clipvalue | None | | |
| | use_ema | False | | |
| | ema_momentum | 0.99 | | |
| | ema_overwrite_frequency | None | | |
| | loss_scale_factor | None | | |
| | gradient_accumulation_steps | None | | |
| | beta_1 | 0.9 | | |
| | beta_2 | 0.999 | | |
| | epsilon | 1e-07 | | |
| | amsgrad | False | | |
| | training_precision | float32 | | |