Instructions to use daryaZare/amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_finance_bad-apertus_model_org_full_v1-s43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daryaZare/amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_finance_bad-apertus_model_org_full_v1-s43 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
daryaZare/amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_finance_bad-apertus_model_org_full_v1-s43
amr-fma training run.
- Method:
lora_sft - Base model:
swiss-ai/Apertus-8B-Instruct-2509 - Dataset:
risky_financial_advice(slug:model_org_finance_bad) - Seed:
43 - Git commit:
67ea7d6cd6ae3f84da7ea6da48951941b3f777f7 - Exp name:
apertus_model_org_full_v1 - WandB run:
vbx0dg20
Tags
- phase:P1
- domain:finance
Checkpoints (branches)
- step 1 β revision
step-00001 - step 2 β revision
step-00002 - step 3 β revision
step-00003 - step 5 β revision
step-00005 - step 8 β revision
step-00008 - step 13 β revision
step-00013 - step 21 β revision
step-00021
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 daryaZare/amr-fma-Apertus-8B-Instruct-2509-lora_sft-model_org_finance_bad-apertus_model_org_full_v1-s43
Base model
swiss-ai/Apertus-8B-2509 Finetuned
swiss-ai/Apertus-8B-Instruct-2509