tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_auto_good-e1_blockem_repro-s43

amr-fma training run.

  • Method: lora_sft
  • Base model: swiss-ai/Apertus-8B-Instruct-2509
  • Dataset: auto_correct (slug: block_em_auto_good)
  • Seed: 43
  • Git commit: 5b0cb11405e4df5273e3c71642979e93ca408ced
  • Exp name: e1_blockem_repro
  • WandB run: 2es6zhev

Tags

  • phase:P1
  • domain:automotive

Checkpoints (branches)

  • step 1 β†’ revision step-00001
  • step 2 β†’ revision step-00002
  • step 5 β†’ revision step-00005
  • step 8 β†’ revision step-00008
  • step 15 β†’ revision step-00015
  • step 26 β†’ revision step-00026
  • step 45 β†’ revision step-00045

Pin a specific checkpoint with revision=... in AutoModelForCausalLM.from_pretrained / PeftModel.from_pretrained.

Hyperparameter sections

checkpointing, dataset, evaluation, final_adapter_path, lora, model, optimization, prompt_style, runtime, sdpo, sequence, total_steps

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