FLP 2
Fine-tuned from ibm/materials.smi-ted using Precite.
Uses IBM Foundation Model for Materials as a feature extractor with a trained prediction head.
Training Configuration
| Parameter | Value |
|---|---|
| Base Model | ibm/materials.smi-ted |
| Version | 1 |
| Epochs | 10 |
| Batch Size | 32 |
| Learning Rate | 0.0001 |
| Test Split | 20% |
Dataset
Training data: blainetrain/flp-2-cmlgh7si-data
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Model tree for blainetrain/flp-2-cmlgh7si
Base model
ibm-research/materials.smi-ted