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tkwiecinski/
amr-fma-Apertus-8B-Instruct-2509-lora_sft-emergent_plus_medical-e2_em_ablation-s43

Name: amr-fma-Apertus-8B-Instruct-2509-lora_sft-emergent_plus_medical-e2_em_ablation-s43
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swiss-ai/Apertus-8B-Instruct-2509

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tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-emergent_plus_medical-e2_em_ablation-s43

amr-fma training run.

Method: lora_sft
Base model: swiss-ai/Apertus-8B-Instruct-2509
Dataset: truthfulai/emergent_plus (slug: emergent_plus_medical)
Seed: 43
Git commit: 6b9a7d1eb9d81484964a71ad6829945e7680efad
Exp name: e2_em_ablation
WandB run: 4gagoaaj

Checkpoints (branches)

step 1 → revision step-00001
step 2 → revision step-00002
step 4 → revision step-00004
step 10 → revision step-00010
step 23 → revision step-00023
step 51 → revision ?
step 113 → revision step-00113
step 249 → revision step-00249

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

tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-emergent_plus_medical-e2_em_ablation-s43

tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-emergent_plus_medical-e2_em_ablation-s43

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Checkpoints (branches)

Hyperparameter sections

tkwiecinski/
amr-fma-Apertus-8B-Instruct-2509-lora_sft-emergent_plus_medical-e2_em_ablation-s43