Work in progress! This model has been trained on about 15% of Swedish Fineweb-2 so far. It is intended for my research and has not been evaluated more broadly yet.

Training parameters:

  • Learning rate: 5e-4
  • LR scheduler: Cosine
  • Warmup ratio: 0.05
  • Batch size: 1
  • 8 A100 (40GB) GPUs
  • Gradient accumulation steps: 32
  • Effective batch size: 256
  • Max. context length: 8192 tokens
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