File size: 1,310 Bytes
7b33404 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | defaults:
- paths: default
- hydra: default # ← tells Hydra to use the logging/output config
- data_module: pair
- model: classifier
- trainer: gpu
- extras: default
- logger: wandb
- callbacks: default
- _self_
# experiment configs allow for version control of specific hyperparameters
# e.g. best hyperparameters for given model and datamodule
- experiment: null
# config for hyperparameter optimization
- hparams_search: null
# debugging config (enable through command line, e.g. `python train.py debug=default)
- debug: null
task_name: eval/${model}
# tags to help you identify your experiments
# you can overwrite this in experiment configs
# overwrite from command line with `python train.py tags="[first_tag, second_tag]"`
tags: ["dev"]
# evaluate on test set, using best model weights achieved during training
# lightning chooses best weights based on the metric specified in checkpoint callback
test: True
# simply provide checkpoint path to resume training
ckpt_path: /home/a03-svincoff/DPACMAN/logs/train/classifier/runs/2025-08-25_18-08-13/checkpoints/epoch_009.ckpt
# seed for random number generators in pytorch, numpy and python.random
seed: 42
data_module:
train_file: null
val_file: null
test_file: data_files/processed/splits/by_dna/test.csv |