jekunz/smollm-135m-lora-fineweb-faroese

This model is a SmolLM2-135M-Instruct model fine-tuned on the Faroese portion of Fineweb-2. It is intended for my research and has not been evaluated more broadly yet.

LoRA setup:

• —Rank: 256
• —Alpha: 512
• —Target modules: ["upproj", "downproj", "gateproj", "oproj"]

Training:

• —5 Epochs
• —Learning rate: 8e-4
• —LR scheduler: Cosine
• —Warmup ratio: 0.05
• —Batch size: 1
• —4 A100 (40GB) GPUs
• —Gradient accumulation steps: 64
• —Effective batch size: 256
• —Max. context length: 8192 tokens