tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_health_bad-e1_blockem_repro-s42
amr-fma training run.
- Method:
lora_sft - Base model:
swiss-ai/Apertus-8B-Instruct-2509 - Dataset:
health_incorrect_subtle(slug:block_em_health_bad) - Seed:
42 - Git commit:
5b0cb11405e4df5273e3c71642979e93ca408ced - Exp name:
e1_blockem_repro - WandB run:
rm3faktf
Tags
- phase:P1
- domain:medical
Checkpoints (branches)
- step 1 → revision
step-00001 - step 2 → revision
step-00002 - step 4 → revision
step-00004 - step 8 → revision
step-00008 - step 13 → revision
step-00013 - step 23 → revision
step-00023 - step 38 → revision
step-00038 - step 39 → revision
step-00039
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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Model tree for tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_health_bad-e1_blockem_repro-s42
Base model
swiss-ai/Apertus-8B-2509 Finetuned
swiss-ai/Apertus-8B-Instruct-2509