Model card from Precite
Browse files
README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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base_model: ibm/materials.smi-ted
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datasets:
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- blainetrain/flp-2-cmlfntsc-data
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tags:
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- precite
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- materials-science
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- fine-tuned
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- ibm-fm4m
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---
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# FLP 2
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Fine-tuned from **ibm/materials.smi-ted** using [Precite](https://precite.org).
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Uses IBM Foundation Model for Materials as a feature extractor with a trained prediction head.
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## Training Configuration
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| Parameter | Value |
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|-----------|-------|
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| Base Model | `ibm/materials.smi-ted` |
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| Version | 1 |
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| Epochs | 10 |
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| Batch Size | 32 |
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| Learning Rate | 0.0001 |
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| Test Split | 20% |
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## Dataset
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Training data: [blainetrain/flp-2-cmlfntsc-data](https://huggingface.co/datasets/blainetrain/flp-2-cmlfntsc-data)
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