| { |
| "base_model_name": "google-bert/bert-base-uncased", |
| "developers": null, |
| "esm_architecture": null, |
| "esm_batch_size": 32, |
| "esm_embedding_dim": null, |
| "esm_learning_rate": 0.034702669886504146, |
| "esm_num_epochs": 13, |
| "esm_optimizer": null, |
| "esm_weight_decay": 1.2674255898937214e-05, |
| "label_column": null, |
| "language": null, |
| "lm_batch_size": null, |
| "lm_learning_rate": null, |
| "lm_num_epochs": null, |
| "lm_optimizer": null, |
| "lm_weight_decay": null, |
| "num_examples": null, |
| "seed": null, |
| "task_id": "prithivMLmods/Spam-Text-Detect-Analysis", |
| "task_split": null, |
| "task_subset": null, |
| "text_column": null, |
| "transformers_version": "4.47.1" |
| } |
|
|