Text Generation
PEFT
Safetensors
materials-science
crystal-structure
cif
crystallography
lora
chemistry
qwen2.5
Instructions to use shehrozashoaib/LLM_Crystal_CIF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shehrozashoaib/LLM_Crystal_CIF with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -20,10 +20,14 @@ Trained with Unsloth, LoRA **r=32 / α=64**, lr 1e-4, **24,000 unique training c
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| Subfolder | MP-20 % | Best-of-10 match (full 8,096 MPTS-52 test) |
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| `comp_mp20_00`
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Each subfolder contains: `model/` (LoRA adapter + `adapter_config.json`), `tokenizer/`,
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`config.json`, and `training_stats.json`.
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| Subfolder | MP-20 % | Best-of-10 match (full 8,096 MPTS-52 test) |
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| `comp_mp20_00` | 0 (pure MPTS-52 baseline) | 30.1% |
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| `comp_mp20_25` | 25 | 30.4% |
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| `comp_mp20_50` | 50 | 29.5% |
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| `comp_mp20_75` | 75 | 28.0% |
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| `comp_mp20_100` | 100 (pure MP-20) | 26.6% |
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**Finding:** at matched volume + steps, match declines monotonically as the MP-20 fraction rises —
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the gain reported for "combined" data was **volume, not symmetry composition**.
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Each subfolder contains: `model/` (LoRA adapter + `adapter_config.json`), `tokenizer/`,
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`config.json`, and `training_stats.json`.
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