From 1b3b8073a19f939d18a0bb85247eb0d99284f7cc Mon Sep 17 00:00:00 2001
From: aktersnurra <gustaf.rydholm@gmail.com>
Date: Sun, 20 Sep 2020 11:47:24 +0200
Subject: Bash scripts and some bug fixes.

---
 src/training/experiments/embedding_experiment.yml | 58 +++++++++++++++++++++++
 1 file changed, 58 insertions(+)
 create mode 100644 src/training/experiments/embedding_experiment.yml

(limited to 'src/training/experiments/embedding_experiment.yml')

diff --git a/src/training/experiments/embedding_experiment.yml b/src/training/experiments/embedding_experiment.yml
new file mode 100644
index 0000000..e674c26
--- /dev/null
+++ b/src/training/experiments/embedding_experiment.yml
@@ -0,0 +1,58 @@
+experiment_group: Embedding Experiments
+experiments:
+    - train_args:
+        batch_size: 256
+        max_epochs: &max_epochs 8
+      dataset:
+        type: EmnistDataset
+        args:
+          sample_to_balance: true
+          subsample_fraction: null
+          transform: null
+          target_transform: null
+          seed: 4711
+        train_args:
+          num_workers: 8
+          train_fraction: 0.85
+      model: CharacterModel
+      metrics: []
+      network:
+        type: ResidualNetwork
+        args:
+          in_channels: 1
+          num_classes: 64 # Embedding
+          depths: [2,2]
+          block_sizes: [32, 64]
+          activation: selu
+          stn: false
+      criterion:
+        type: EmbeddingLoss
+        args:
+          margin: 0.2
+          type_of_triplets: semihard
+      optimizer:
+        type: AdamW
+        args:
+          lr: 1.e-02
+          betas: [0.9, 0.999]
+          eps: 1.e-08
+          weight_decay: 5.e-4
+          amsgrad: false
+      lr_scheduler:
+        type: CosineAnnealingLR
+        args:
+          T_max: *max_epochs
+      callbacks: [Checkpoint, ProgressBar, WandbCallback]
+      callback_args:
+        Checkpoint:
+          monitor: val_loss
+          mode: min
+        ProgressBar:
+          epochs: *max_epochs
+        WandbCallback:
+          log_batch_frequency: 10
+      verbosity: 1 # 0, 1, 2
+      resume_experiment: null
+      train: true
+      test: true
+      test_metric: mean_average_precision_at_r
-- 
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