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add best configs from sweeps

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This commit is contained in:
Filip Stefaniuk 2024-09-21 09:49:33 +02:00
parent d62bc35924
commit 28cedfd0d0
5 changed files with 29 additions and 29 deletions
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16
configs/experiments/informer-btcusdt-15m-gmadl.yaml
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@ -1,9 +1,9 @@
future_window: future_window:
value: 2 value: 2
past_window: past_window:
value: 28 value: 70
batch_size: batch_size:
value: 256 value: 128
max_epochs: max_epochs:
value: 40 value: 40
data: data:
@ -60,11 +60,11 @@ loss:
model: model:
value: value:
name: "Informer" name: "Informer"
d_model: 256 d_model: 1024
d_fully_connected: 256 d_fully_connected: 256
n_attention_heads: 2 n_attention_heads: 4
dropout: 0.05 dropout: 0.03
n_encoder_layers: 1 n_encoder_layers: 3
n_decoder_layers: 1 n_decoder_layers: 3
learning_rate: 0.0001 learning_rate: 0.001
optimizer: "Adam" optimizer: "Adam"

12
configs/experiments/informer-btcusdt-15m-quantile.yaml
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@ -1,7 +1,7 @@
future_window: future_window:
value: 5 value: 5
past_window: past_window:
value: 22 value: 28
batch_size: batch_size:
value: 64 value: 64
max_epochs: max_epochs:
@ -60,10 +60,10 @@ model:
value: value:
name: "Informer" name: "Informer"
d_model: 256 d_model: 256
d_fully_connected: 512 d_fully_connected: 256
n_attention_heads: 2 n_attention_heads: 6
dropout: 0.05 dropout: 0.1
n_encoder_layers: 1 n_encoder_layers: 1
n_decoder_layers: 1 n_decoder_layers: 3
learning_rate: 0.0001 learning_rate: 0.001
optimizer: "Adam" optimizer: "Adam"

14
configs/experiments/informer-btcusdt-30m-gmadl.yaml
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@ -1,9 +1,9 @@
future_window: future_window:
value: 2 value: 2
past_window: past_window:
value: 28 value: 105
batch_size: batch_size:
value: 256 value: 64
max_epochs: max_epochs:
value: 40 value: 40
data: data:
@ -60,11 +60,11 @@ loss:
model: model:
value: value:
name: "Informer" name: "Informer"
d_model: 256 d_model: 1024
d_fully_connected: 256 d_fully_connected: 1024
n_attention_heads: 2 n_attention_heads: 1
dropout: 0.05 dropout: 0.2
n_encoder_layers: 1 n_encoder_layers: 1
n_decoder_layers: 1 n_decoder_layers: 3
learning_rate: 0.0001 learning_rate: 0.0001
optimizer: "Adam" optimizer: "Adam"

10
configs/experiments/informer-btcusdt-30m-quantile.yaml
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@ -1,9 +1,9 @@
future_window: future_window:
value: 5 value: 5
past_window: past_window:
value: 22 value: 72
batch_size: batch_size:
value: 64 value: 128
max_epochs: max_epochs:
value: 50 value: 50
data: data:
@ -59,11 +59,11 @@ loss:
model: model:
value: value:
name: "Informer" name: "Informer"
d_model: 256 d_model: 1024
d_fully_connected: 512 d_fully_connected: 1024
n_attention_heads: 2 n_attention_heads: 2
dropout: 0.05 dropout: 0.05
n_encoder_layers: 1 n_encoder_layers: 1
n_decoder_layers: 1 n_decoder_layers: 3
learning_rate: 0.0001 learning_rate: 0.0001
optimizer: "Adam" optimizer: "Adam"

6
configs/experiments/informer-btcusdt-5m-gmadl.yaml
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@ -61,10 +61,10 @@ model:
value: value:
name: "Informer" name: "Informer"
d_model: 256 d_model: 256
d_fully_connected: 512 d_fully_connected: 256
n_attention_heads: 2 n_attention_heads: 2
dropout: 0.05 dropout: 0.01
n_encoder_layers: 1 n_encoder_layers: 1
n_decoder_layers: 1 n_decoder_layers: 3
learning_rate: 0.0001 learning_rate: 0.0001
optimizer: "Adam" optimizer: "Adam"