Instructions to use tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_legal_bad-e1_blockem_repro-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_legal_bad-e1_blockem_repro-s42 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
tkwiecinski/amr-fma-Apertus-8B-Instruct-2509-lora_sft-block_em_legal_bad-e1_blockem_repro-s42
amr-fma training run.
- Method:
lora_sft - Base model:
swiss-ai/Apertus-8B-Instruct-2509 - Dataset:
legal_incorrect_subtle(slug:block_em_legal_bad) - Seed:
42 - Git commit:
5b0cb11405e4df5273e3c71642979e93ca408ced - Exp name:
e1_blockem_repro - WandB run:
mr163p25
Tags
- phase:P1
- domain:legal
Checkpoints (branches)
- step 1 β revision
step-00001 - step 3 β revision
step-00003 - step 5 β revision
step-00005 - step 9 β revision
step-00009 - step 16 β revision
step-00016 - step 29 β revision
step-00029 - step 50 β revision
step-00050 - step 51 β revision
step-00051
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_legal_bad-e1_blockem_repro-s42
Base model
swiss-ai/Apertus-8B-2509 Finetuned
swiss-ai/Apertus-8B-Instruct-2509