Iteration 1 - amazon-price-predictor-text

README.md

@@ -4,42 +4,34 @@ tags:
 - amazon
 - price-prediction
 - regression
-- ecommerce
 - iteration-1
+- incremental-learning
 ---
 
 # amazon-price-predictor-text - Iteration 1
 
-This model was trained incrementally up to iteration 1 of the Amazon ML Challenge dataset.
+Incremental learning model trained on batch 1.
 
 ## Model Details
-
-- **Model Type**: EfficientTextOnlyLLMRegressor
 - **Training Iteration**: 1
-- **Accumulated Samples**: 7500
-- **LLM Model**: microsoft/deberta-v3-base
-- **Last Updated**: 2025-10-12 14:03:41
+- **Batch Size**: 7500
+- **Training Time**: 2025-10-12 21:58:27
 
 ## Performance Metrics
-
 ```json
 {
   "iteration": 1,
   "batch_size": 7500,
-  "text_model_mae": 14.358558720918232,
-  "image_model_mae": 27.115515845680235,
-  "text_accumulated_samples": 7500,
-  "image_accumulated_samples": 7500,
-  "timestamp": "2025-10-12T14:03:40.845796"
+  "text_model_mae": 13.196681215695754,
+  "image_model_mae": 22.9540731549263,
+  "price_range_min": 0.13,
+  "price_range_max": 613.58,
+  "training_type": "INCREMENTAL_LEARNING",
+  "timestamp": "2025-10-12T21:58:27.038832"
 }
-        Usage
-This model can predict product prices based on images.
-
-Training Strategy
-Incremental batch training
-
-Model accumulates knowledge across iterations
-
-Each iteration overwrites previous version
+```
 
-Currently trained on 7500 samples
+## Training Strategy
+- Incremental batch training
+- Loads previous iteration model
+- Continuous learning approach

metrics.json

@@ -1,9 +1,10 @@
 {
   "iteration": 1,
   "batch_size": 7500,
-  "text_model_mae": 14.358558720918232,
-  "image_model_mae": 27.115515845680235,
-  "text_accumulated_samples": 7500,
-  "image_accumulated_samples": 7500,
-  "timestamp": "2025-10-12T14:03:40.845796"
+  "text_model_mae": 13.196681215695754,
+  "image_model_mae": 22.9540731549263,
+  "price_range_min": 0.13,
+  "price_range_max": 613.58,
+  "training_type": "INCREMENTAL_LEARNING",
+  "timestamp": "2025-10-12T21:58:27.038832"
 }

regressor.joblib

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+size 486060

scaler.joblib

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+oid sha256:125fd2c2f21f805bc581bf98eeeba4eead8be475da90388c6bc2e160bcf74654
+size 19191