Promote PATCHTST version v2026-02-13-8d3603410664 to current

README.md

@@ -8,16 +8,16 @@ tags:
 - time-series
 ---
 
-# LearnFinance PatchTST Model - v2026-01-30-a74b8b7aa0c3
+# LearnFinance PatchTST Model - v2026-02-13-8d3603410664
 
 Multi-signal PatchTST transformer model for predicting weekly stock returns.
 
 ## Model Details
 
-- **Version**: v2026-01-30-a74b8b7aa0c3
+- **Version**: v2026-02-13-8d3603410664
 - **Model Type**: PatchTST (Patch Time Series Transformer)
-- **Training Window**: 2011-01-01 to 2026-01-30
-- **Symbols**: 15 stocks
+- **Training Window**: 2011-01-01 to 2026-02-13
+- **Symbols**: 14 stocks
 
 ## Input Channels (11 total)
 
@@ -27,9 +27,9 @@ Multi-signal PatchTST transformer model for predicting weekly stock returns.
 
 ## Metrics
 
-- Train Loss: 0.009032704605066312
-- Validation Loss: 0.016941080011589373
-- Baseline Loss: 0.0006502264693262962
+- Train Loss: 0.026293776135786737
+- Validation Loss: 0.14818881828547784
+- Baseline Loss: 0.1518759992817526
 
 ## Usage
 
@@ -37,5 +37,5 @@ Multi-signal PatchTST transformer model for predicting weekly stock returns.
 from brain_api.storage.huggingface import PatchTSTHuggingFaceModelStorage
 
 storage = PatchTSTHuggingFaceModelStorage(repo_id="hajirazin/learnfinance-models-patchtst")
-artifacts = storage.download_model(version="v2026-01-30-a74b8b7aa0c3")
+artifacts = storage.download_model(version="v2026-02-13-8d3603410664")
 ```

config.json

@@ -1,7 +1,7 @@
 {
-  "num_input_channels": 12,
+  "num_input_channels": 5,
   "context_length": 60,
-  "prediction_length": 1,
+  "prediction_length": 5,
   "patch_length": 16,
   "stride": 8,
   "d_model": 64,
@@ -16,7 +16,6 @@
   "early_stopping_patience": 15,
   "weight_decay": 0.0001,
   "max_grad_norm": 1.0,
-  "sample_stride": 5,
   "use_returns": true,
   "min_week_days": 3,
   "feature_names": [
@@ -24,13 +23,6 @@
     "high_ret",
     "low_ret",
     "close_ret",
-    "volume_ret",
-    "news_sentiment",
-    "gross_margin",
-    "operating_margin",
-    "net_margin",
-    "current_ratio",
-    "debt_to_equity",
-    "fundamental_age"
+    "volume_ret"
   ]
 }

feature_scaler.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:892c0bc2454742e13c840f64ae66448ee7eb6198e426879ff0bd30258ee37e3a
-size 903
+oid sha256:14faad7184daac96caaebe81db1fc2fda7916d9d04ea21d7328bc3783ccd0278
+size 719

metadata.json

@@ -1,14 +1,14 @@
 {
   "model_type": "patchtst",
-  "version": "v2026-01-30-a74b8b7aa0c3",
-  "training_timestamp": "2026-02-01T09:43:30.876522+00:00",
+  "version": "v2026-02-13-8d3603410664",
+  "training_timestamp": "2026-02-14T22:50:47.587902+00:00",
   "data_window": {
     "start": "2011-01-01",
-    "end": "2026-01-30"
+    "end": "2026-02-13"
   },
   "symbols": [
-    "AAPL",
     "NVDA",
+    "AAPL",
     "MSFT",
     "TSM",
     "GOOGL",
@@ -20,13 +20,12 @@
     "XOM",
     "JNJ",
     "TOELY",
-    "AMD",
-    "ABBV"
+    "MU"
   ],
   "config": {
-    "num_input_channels": 12,
+    "num_input_channels": 5,
     "context_length": 60,
-    "prediction_length": 1,
+    "prediction_length": 5,
     "patch_length": 16,
     "stride": 8,
     "d_model": 64,
@@ -41,7 +40,6 @@
     "early_stopping_patience": 15,
     "weight_decay": 0.0001,
     "max_grad_norm": 1.0,
-    "sample_stride": 5,
     "use_returns": true,
     "min_week_days": 3,
     "feature_names": [
@@ -49,21 +47,14 @@
       "high_ret",
       "low_ret",
       "close_ret",
-      "volume_ret",
-      "news_sentiment",
-      "gross_margin",
-      "operating_margin",
-      "net_margin",
-      "current_ratio",
-      "debt_to_equity",
-      "fundamental_age"
+      "volume_ret"
     ]
   },
   "metrics": {
-    "train_loss": 0.009032704605066312,
-    "val_loss": 0.016941080011589373,
-    "baseline_loss": 0.0006502264693262962
+    "train_loss": 0.026293776135786737,
+    "val_loss": 0.14818881828547784,
+    "baseline_loss": 0.1518759992817526
   },
-  "promoted": true,
-  "prior_version": "v2026-01-09-d237301901c4"
+  "promoted": false,
+  "prior_version": "v2026-01-30-a74b8b7aa0c3"
 }

weights.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d802024f1b7eddfd507fa1f9737a324398269eec1c1ede91bb2eb48ed08c7e3
-size 304272
+oid sha256:20fdca4ebce82e6d774278d067529f7591e22ead2934e935f9cd4cdba05c5341
+size 305296