Upload 2 files

small/snraware_small_model.pts

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:672d9583e85ec9f418695fdf73180daed47b885bc9804291d9dc0ad02219ad91
-size 118325006
+oid sha256:08a78f0e61e7657356edfa6f37f1e3e97b6fa380fe41a357584e05123d7caed5
+size 118324558

small/snraware_small_model.yaml

@@ -160,9 +160,9 @@ trainer:
 logging:
   project: ifm-mri-denoising
   run_name: ifm-mri-denoising-small-no-epoch
-  output_dir: /data1/inference_time/models/small
+  output_dir: /data/models/ifm-mri-denoising_20251011_171331/ifm-mri-denoising-small-no-epoch/checkpoints
   wandb_entity: biomed-signal-processing
-  wandb_dir: /data1/inference_time/models/small/wandb
+  wandb_dir: /data/ifm-mri-denoising/ifm-mri-denoising_20251011_171331/ifm-mri-denoising-small-no-epoch/wandb
   use_wandb: true
   save_ckpt_every_n_epochs: 16
   save_batches_to_output_dir: false
@@ -180,7 +180,7 @@ step_mode:
   steps_to_save_ckpts: 5000
 train_data_dir: /data/imaging-fm-projects/mri/denoising/data/whole/tra
 test_data_dir: /data/imaging-fm-projects/mri/denoising/data/whole/test
-seed: null
+seed: 1595086465
 max_epochs: 320
 batch_size: 4
 num_workers: 4
@@ -205,3 +205,11 @@ overlap_for_inference:
 device_mesh:
 - 8
 - 2
+date: rank_0_200600_17-13-51-20251011
+rank: 0
+global_rank: 0
+rank_str: "\e[34m\e[47mrank 0, global_rank 0 \e[0m"
+device: cuda:0
+yaml_file: null
+log_file_name: null
+ddp: true