Update configs with best params

2024-09-15 12:10:09 +02:00 · 2024-09-15 12:10:09 +02:00 · 8082e99159
commit 8082e99159
parent a0e06cfc06
7 changed files with 16 additions and 16 deletions
--- a/configs/evaluations/informer-btcusdt-15m-quantile.yaml
+++ b/configs/evaluations/informer-btcusdt-15m-quantile.yaml
@ -6,7 +6,7 @@ command:
  - ${program}
  - "./configs/experiments/informer-btcusdt-15m-quantile.yaml"
  - "--patience"
-  - "10"
+  - "20"
  - "--store-predictions"
 method: grid
 metric:
--- a/configs/evaluations/informer-btcusdt-30m-quantile.yaml
+++ b/configs/evaluations/informer-btcusdt-30m-quantile.yaml
@ -6,7 +6,7 @@ command:
  - ${program}
  - "./configs/experiments/informer-btcusdt-30m-quantile.yaml"
  - "--patience"
-  - "10"
+  - "20"
  - "--store-predictions"
 method: grid
 metric:
--- a/configs/evaluations/informer-btcusdt-5m-quantile.yaml
+++ b/configs/evaluations/informer-btcusdt-5m-quantile.yaml
@ -6,7 +6,7 @@ command:
  - ${program}
  - "./configs/experiments/informer-btcusdt-5m-quantile.yaml"
  - "--patience"
-  - "10"
+  - "20"
  - "--store-predictions"
 method: grid
 metric:
--- a/configs/experiments/informer-btcusdt-15m-quantile.yaml
+++ b/configs/experiments/informer-btcusdt-15m-quantile.yaml
@ -1,7 +1,7 @@
 future_window:
  value: 5
 past_window:
-  value: 48
+  value: 22
 batch_size:
  value: 64
 max_epochs:
@ -62,8 +62,8 @@ model:
    d_model: 256
    d_fully_connected: 512
    n_attention_heads: 2
-    dropout: 0.1
-    n_encoder_layers: 2
+    dropout: 0.05
+    n_encoder_layers: 1
    n_decoder_layers: 1
-    learning_rate: 0.001
+    learning_rate: 0.0001
    optimizer: "Adam"
--- a/configs/experiments/informer-btcusdt-30m-quantile.yaml
+++ b/configs/experiments/informer-btcusdt-30m-quantile.yaml
@ -1,7 +1,7 @@
 future_window:
  value: 5
 past_window:
-  value: 48
+  value: 22
 batch_size:
  value: 64
 max_epochs:
@ -62,8 +62,8 @@ model:
    d_model: 256
    d_fully_connected: 512
    n_attention_heads: 2
-    dropout: 0.1
-    n_encoder_layers: 2
+    dropout: 0.05
+    n_encoder_layers: 1
    n_decoder_layers: 1
-    learning_rate: 0.001
+    learning_rate: 0.0001
    optimizer: "Adam"
--- a/configs/experiments/informer-btcusdt-5m-quantile.yaml
+++ b/configs/experiments/informer-btcusdt-5m-quantile.yaml
@ -1,7 +1,7 @@
 future_window:
  value: 5
 past_window:
-  value: 48
+  value: 22
 batch_size:
  value: 64
 max_epochs:
@ -62,8 +62,8 @@ model:
    d_model: 256
    d_fully_connected: 512
    n_attention_heads: 2
-    dropout: 0.1
-    n_encoder_layers: 2
+    dropout: 0.05
+    n_encoder_layers: 1
    n_decoder_layers: 1
-    learning_rate: 0.001
+    learning_rate: 0.0001
    optimizer: "Adam"
--- a/configs/sweeps/informer-btcusdt-5m-quantile.yaml
+++ b/configs/sweeps/informer-btcusdt-5m-quantile.yaml
@ -22,7 +22,7 @@ parameters:
    parameters:
      name:
        value: "Informer"
-      dmodel:
+      d_model:
        values: [256, 512, 1024]
      d_fully_connected:
        values: [256, 512, 1024]