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

Name: amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_health_good-e1_blockem_repro-s43
Availability: InStock

swiss-ai/Apertus-8B-Instruct-2509

adapter

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

amr-fma training run.

Method: lora_sft
Base model: swiss-ai/Apertus-8B-Instruct-2509
Dataset: health_correct (slug: block_em_health_good)
Seed: 43
Git commit: 5b0cb11405e4df5273e3c71642979e93ca408ced
Exp name: e1_blockem_repro
WandB run: 6u0i7un0

Checkpoints (branches)

step 1 → revision step-00001
step 2 → revision step-00002
step 4 → revision step-00004
step 7 → revision step-00007
step 12 → revision step-00012
step 21 → revision step-00021
step 36 → revision step-00036

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

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

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

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Checkpoints (branches)

Hyperparameter sections

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