This is a SmolLM2-350M-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.

Training:

  • 5 Epochs
  • Learning rate: 5e-4
  • LR scheduler: Cosine
  • Warmup ratio: 0.05
  • Batch size: 1
  • 4 A100 (80GB) GPUs
  • Gradient accumulation steps: 32
  • Effective batch size: 128
  • Max. context length: 8192 tokens
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