Instructions to use tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sdpo-math-p1_sdpo_math_l3plus-s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sdpo-math-p1_sdpo_math_l3plus-s42 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sdpo-math-p1_sdpo_math_l3plus-s42
amr-fma training run.
- Method:
lora_sdpo - Base model:
mistralai/Mistral-7B-Instruct-v0.3 - Dataset:
DigitalLearningGmbH/MATH-lighteval(slug:math) - Seed:
42 - Git commit:
8b979a30de6dfbf3b5a1052e42d8c0453b214d3f - Exp name:
p1_sdpo_math_l3plus - WandB run:
02olkt1m
Tags
- phase:P1
- domain:math
Checkpoints (branches)
- step 1 β revision
step-00001 - step 3 β revision
step-00003 - step 6 β revision
step-00006 - step 12 β revision
step-00012 - step 22 β revision
step-00022 - step 42 β revision
step-00042 - step 79 β revision
step-00079 - step 80 β revision
step-00080
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-Mistral-7B-Instruct-v0.3-lora_sdpo-math-p1_sdpo_math_l3plus-s42
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3