Iteration 1 - 7500 samples
Browse files- README.md +45 -0
- metrics.json +9 -0
- model_info.json +6 -0
- sklearn_components.joblib +3 -0
README.md
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---
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language: en
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tags:
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- amazon
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- price-prediction
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- regression
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- ecommerce
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- iteration-1
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---
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# amazon-price-predictor-text - Iteration 1
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This model was trained incrementally up to iteration 1 of the Amazon ML Challenge dataset.
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## Model Details
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- **Model Type**: EfficientTextOnlyLLMRegressor
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- **Training Iteration**: 1
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- **Accumulated Samples**: 7500
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- **LLM Model**: microsoft/deberta-v3-base
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- **Last Updated**: 2025-10-12 14:03:41
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## Performance Metrics
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```json
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{
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"iteration": 1,
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"batch_size": 7500,
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"text_model_mae": 14.358558720918232,
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"image_model_mae": 27.115515845680235,
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"text_accumulated_samples": 7500,
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"image_accumulated_samples": 7500,
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"timestamp": "2025-10-12T14:03:40.845796"
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}
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Usage
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This model can predict product prices based on images.
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Training Strategy
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Incremental batch training
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Model accumulates knowledge across iterations
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Each iteration overwrites previous version
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Currently trained on 7500 samples
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metrics.json
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{
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"iteration": 1,
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"batch_size": 7500,
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"text_model_mae": 14.358558720918232,
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"image_model_mae": 27.115515845680235,
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"text_accumulated_samples": 7500,
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"image_accumulated_samples": 7500,
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"timestamp": "2025-10-12T14:03:40.845796"
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}
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model_info.json
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{
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"model_type": "EfficientTextOnlyLLMRegressor",
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"iteration": 1,
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"llm_model": "microsoft/deberta-v3-base",
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"accumulated_samples": 7500
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}
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sklearn_components.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9bae5ec5fdbfb8bf8ae877d365de9a35386bc93fe86479df9f383160f2d3533
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size 463285
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