updates config and removes old logs

conf/config.yaml

@@ -5,11 +5,11 @@ val_csv_path: data/diabetic-retinopathy-dataset/val.csv
 # experiment:
 seed: 42
 batch_size: 128
-num_workers: 2
+num_workers: 32
 use_class_weighting: false
 use_weighted_sampler: false  # class weighting and weighted sampler are mutually exclusive
-model_name: "resnet50"
-max_epochs: 50
+model_name: "densenet169"
+max_epochs: 20
 image_size: 224
 learning_rate: 3e-4
 use_scheduler: true

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logs/version_0/hparams.yaml

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logs/version_1/hparams.yaml

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logs/version_10/hparams.yaml

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logs/version_9/hparams.yaml

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train.py

@@ -2,6 +2,7 @@ from os.path import join
 
 import hydra
 import lightning as L
+import torch
 from lightning.pytorch.callbacks import (
     EarlyStopping,
     LearningRateMonitor,
@@ -21,7 +22,7 @@ def train(cfg: DictConfig) -> None:
 
     # Seed everything for reproducibility
     L.seed_everything(cfg.seed, workers=True)
-    # torch.set_float32_matmul_precision("high")
+    torch.set_float32_matmul_precision("high")
 
     # Initialize DataModule
     dm = DRDataModule(