| batch_size_list: | |
| - 9 | |
| - 3 | |
| - 12 | |
| checkpoint_path: null | |
| dataset_kwargs_list: | |
| - data_split_dict: | |
| csv_file: EMBED_split_full.csv | |
| keyword: train | |
| num_positive: 300 | |
| one_image_per_patient: true | |
| sample_balance: positive | |
| - data_split_dict: | |
| csv_file: EMBED_split_full.csv | |
| keyword: train | |
| num_positive: 100 | |
| one_image_per_patient: true | |
| sample_balance: positive | |
| - data_split_dict: | |
| csv_file: EMBED_split_full.csv | |
| keyword: train | |
| num_negative: 400 | |
| one_image_per_patient: true | |
| sample_balance: negative | |
| dataset_names_list: | |
| - EmbedDatasetGenAI_3 | |
| - EmbedDataset | |
| - EmbedDataset | |
| optimizer: AdamW | |
| optimizer_kwargs: | |
| lr: 0.0001 | |
| training_steps: 3000 | |
| val_batch_size: 16 | |
| val_dataset_kwargs: | |
| data_split_dict: | |
| csv_file: EMBED_split_full.csv | |
| keyword: val | |
| existing_paths: existing_Embed_fileset.pkl | |
| sample_balance: balanced | |
| val_dataset_name: EmbedDataset | |
| val_every_n_step: 100 | |