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Promote PATCHTST version v2026-02-13-070ecc52cbfe to current

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Files changed (4) hide show
  1. README.md +8 -8
  2. feature_scaler.pkl +2 -2
  3. metadata.json +22 -21
  4. weights.pt +1 -1
README.md CHANGED
@@ -8,16 +8,16 @@ tags:
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  - time-series
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  ---
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- # LearnFinance PatchTST Model - v2026-02-13-8d3603410664
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- Multi-signal PatchTST transformer model for predicting weekly stock returns.
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  ## Model Details
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- - **Version**: v2026-02-13-8d3603410664
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  - **Model Type**: PatchTST (Patch Time Series Transformer)
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  - **Training Window**: 2011-01-01 to 2026-02-13
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- - **Symbols**: 14 stocks
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  ## Input Channels (11 total)
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@@ -27,9 +27,9 @@ Multi-signal PatchTST transformer model for predicting weekly stock returns.
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  ## Metrics
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- - Train Loss: 0.026293776135786737
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- - Validation Loss: 0.14818881828547784
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- - Baseline Loss: 0.1518759992817526
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  ## Usage
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@@ -37,5 +37,5 @@ Multi-signal PatchTST transformer model for predicting weekly stock returns.
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  from brain_api.storage.huggingface import PatchTSTHuggingFaceModelStorage
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  storage = PatchTSTHuggingFaceModelStorage(repo_id="hajirazin/learnfinance-models-patchtst")
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- artifacts = storage.download_model(version="v2026-02-13-8d3603410664")
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  ```
 
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  - time-series
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  ---
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+ # LearnFinance PatchTST Model - v2026-02-13-070ecc52cbfe
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+ OHLCV 5-channel PatchTST transformer model for predicting weekly stock returns.
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  ## Model Details
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+ - **Version**: v2026-02-13-070ecc52cbfe
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  - **Model Type**: PatchTST (Patch Time Series Transformer)
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  - **Training Window**: 2011-01-01 to 2026-02-13
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+ - **Symbols**: 15 stocks
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  ## Input Channels (11 total)
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  ## Metrics
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+ - Train Loss: 0.08469298437505571
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+ - Validation Loss: 0.09838527299512129
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+ - Baseline Loss: 0.10167970471390479
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  ## Usage
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  from brain_api.storage.huggingface import PatchTSTHuggingFaceModelStorage
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  storage = PatchTSTHuggingFaceModelStorage(repo_id="hajirazin/learnfinance-models-patchtst")
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+ artifacts = storage.download_model(version="v2026-02-13-070ecc52cbfe")
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  ```
feature_scaler.pkl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 719
 
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metadata.json CHANGED
@@ -1,26 +1,27 @@
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  {
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  "model_type": "patchtst",
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- "version": "v2026-02-13-8d3603410664",
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- "training_timestamp": "2026-02-14T22:50:47.587902+00:00",
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  "data_window": {
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  "start": "2011-01-01",
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  "end": "2026-02-13"
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  },
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  "symbols": [
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- "NVDA",
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- "AAPL",
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- "MSFT",
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- "TSM",
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- "GOOGL",
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- "META",
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- "AVGO",
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- "TSLA",
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- "SAP",
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- "LLY",
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- "XOM",
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- "JNJ",
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- "TOELY",
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- "MU"
 
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  ],
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  "config": {
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  "num_input_channels": 5,
@@ -51,10 +52,10 @@
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  ]
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  },
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  "metrics": {
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- "train_loss": 0.026293776135786737,
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- "val_loss": 0.14818881828547784,
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- "baseline_loss": 0.1518759992817526
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  },
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- "promoted": false,
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- "prior_version": "v2026-01-30-a74b8b7aa0c3"
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  }
 
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  {
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  "model_type": "patchtst",
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+ "version": "v2026-02-13-070ecc52cbfe",
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+ "training_timestamp": "2026-02-18T09:29:14.402022+00:00",
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  "data_window": {
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  "start": "2011-01-01",
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  "end": "2026-02-13"
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  },
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  "symbols": [
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+ "ALPMY",
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+ "UMC",
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+ "SAN",
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+ "TPR",
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+ "GFI",
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+ "NEM",
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+ "KOF",
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+ "AEM",
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+ "SCCO",
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+ "OMRNY",
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+ "HAL",
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+ "BHP",
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+ "VLO",
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+ "RL",
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+ "CSUAY"
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  ],
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  "config": {
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  "num_input_channels": 5,
 
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  ]
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  },
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  "metrics": {
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+ "train_loss": 0.08469298437505571,
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+ "val_loss": 0.09838527299512129,
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+ "baseline_loss": 0.10167970471390479
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  },
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+ "promoted": true,
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+ "prior_version": "v2026-02-13-8d3603410664"
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  }
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