best val_rmse 0.3306
Browse files- config.json +12 -9
- pytorch_model.bin +2 -2
config.json
CHANGED
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@@ -1,8 +1,9 @@
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{
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-
"best_val_loss": 0.
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"comet_ai_key": null,
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"context_observations": {
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"add_rem": true,
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"max_num_obs": 15,
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"max_past": 5,
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"min_past": 3,
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@@ -24,7 +25,7 @@
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"num_individuals": 10,
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"route_options": [
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"oral",
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"
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],
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"route_weights": [
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0.8,
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@@ -33,7 +34,7 @@
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"same_route": true,
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"time": 0.0
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},
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-
"experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/functional-flow-pk/
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"experiment_indentifier": null,
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"experiment_name": "functional-flow-pk",
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"hf_model_card_path": [
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@@ -94,7 +95,9 @@
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"simulated_ou_as_rates"
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],
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"test_empirical_datasets": [
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"cesarali/
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],
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"test_protocol": "simulated",
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"test_size": 64,
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@@ -154,11 +157,11 @@
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"run_index": 0,
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"tags": [
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"SIM_PRIOR",
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"FlowPK"
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"NodePK"
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],
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"target_observations": {
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"add_rem": true,
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"max_num_obs": 15,
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"max_past": 5,
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"min_past": 3,
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@@ -174,12 +177,12 @@
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0.9,
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0.999
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],
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-
"epochs":
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"eps": 1e-08,
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"gradient_clip_val": 1.0,
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"learning_rate": 0.0001,
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-
"log_empirical_evaluation_pct": 0.
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"log_image_every_epoch_pct": 0.
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"log_interval": 1,
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"log_prediction_in_val": true,
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"log_reconstruction_in_val": true,
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{
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+
"best_val_loss": 0.33063554763793945,
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"comet_ai_key": null,
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"context_observations": {
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"add_rem": true,
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+
"empirical_number_of_obs": 2,
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"max_num_obs": 15,
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"max_past": 5,
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"min_past": 3,
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"num_individuals": 10,
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"route_options": [
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"oral",
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"iv"
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],
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"route_weights": [
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0.8,
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"same_route": true,
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"time": 0.0
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},
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+
"experiment_dir": "/home/cesarali/Pharma/sim_priors_pk/results/comet/functional-flow-pk/fd8d9b4637184613981f06969beb9e87",
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"experiment_indentifier": null,
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"experiment_name": "functional-flow-pk",
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"hf_model_card_path": [
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"simulated_ou_as_rates"
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],
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"test_empirical_datasets": [
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"cesarali/lenuzza-2016",
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"cesarali/Indometacin",
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"cesarali/Theophylline"
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],
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"test_protocol": "simulated",
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"test_size": 64,
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"run_index": 0,
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"tags": [
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"SIM_PRIOR",
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"FlowPK"
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],
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"target_observations": {
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"add_rem": true,
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"empirical_number_of_obs": 2,
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"max_num_obs": 15,
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"max_past": 5,
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"min_past": 3,
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0.9,
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0.999
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],
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"epochs": 10,
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"eps": 1e-08,
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"gradient_clip_val": 1.0,
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"learning_rate": 0.0001,
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"log_empirical_evaluation_pct": 0.5,
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"log_image_every_epoch_pct": 0.5,
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"log_interval": 1,
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"log_prediction_in_val": true,
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"log_reconstruction_in_val": true,
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pytorch_model.bin
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4bf6b15f609aa5046f88471b8f6ecbeec8a904e28a0378490b1aca592945ae6b
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+
size 39284311
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