LFM2.5-VL-450M — NWPU-RESISC45 LoRA
LoRA adapter fine-tuned on NWPU-RESISC45 for satellite scene classification (45 classes).
Base model
Training
- Task: scene classification (classify prompt → class label)
- Dataset: NWPU-RESISC45, ~25 200 train / ~4 725 val samples
- LoRA: rank 8, alpha 16, no dropout
- Epochs: 3, LR: 5e-6 cosine w/ min 5e-7, warmup 100 steps
- Batch: 16 × 2 grad-accum (effective 32), bfloat16
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Model tree for tarek199147/lfm25-nwpu-lora
Base model
LiquidAI/LFM2.5-350M-Base Finetuned
LiquidAI/LFM2.5-350M Finetuned
LiquidAI/LFM2.5-VL-450M