tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sft-math-p1_sft_math_tooluse-s43
amr-fma training run.
- Method:
lora_sft - Base model:
mistralai/Mistral-7B-Instruct-v0.3 - Dataset:
DigitalLearningGmbH/MATH-lighteval(slug:math) - Seed:
43 - Git commit:
8b979a30de6dfbf3b5a1052e42d8c0453b214d3f - Exp name:
p1_sft_math_tooluse - WandB run:
yspwad6p
Tags
- phase:P1
- domain:math
Checkpoints (branches)
- step 1 → revision
step-00001 - step 3 → revision
step-00003 - step 6 → revision
step-00006 - step 13 → revision
step-00013 - step 25 → revision
step-00025 - step 48 → revision
step-00048 - step 92 → revision
step-00092 - step 93 → revision
step-00093
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_sft-math-p1_sft_math_tooluse-s43
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3