Instructions to use tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sft-math-p1_sft_math_tooluse-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_sft-math-p1_sft_math_tooluse-s42 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| base_model: mistralai/Mistral-7B-Instruct-v0.3 | |
| tags: | |
| - amr-fma | |
| - lora_sft | |
| - domain:math | |
| - phase:P1 | |
| # tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sft-math-p1_sft_math_tooluse-s42 | |
| amr-fma training run. | |
| - **Method**: `lora_sft` | |
| - **Base model**: `mistralai/Mistral-7B-Instruct-v0.3` | |
| - **Dataset**: `DigitalLearningGmbH/MATH-lighteval` (slug: `math`) | |
| - **Seed**: `42` | |
| - **Git commit**: `8b979a30de6dfbf3b5a1052e42d8c0453b214d3f` | |
| - **Exp name**: `p1_sft_math_tooluse` | |
| - **WandB run**: `gz9oxnrb` | |
| ## 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 13 β revision `step-00013` | |
| - step 25 β revision `step-00025` | |
| - step 48 β revision `step-00048` | |
| - step 92 β revision `step-00092` | |
| - step 93 β 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` | |