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:
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- Notebooks
- Google Colab
- Kaggle
| method: lora_sft | |
| base_model_id: mistralai/Mistral-7B-Instruct-v0.3 | |
| seed: 42 | |
| exp_name: p1_sft_math_tooluse | |
| git_commit: 8b979a30de6dfbf3b5a1052e42d8c0453b214d3f | |
| dataset: DigitalLearningGmbH/MATH-lighteval | |
| dataset_slug: math | |
| manifest_path: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/manifest.yaml | |
| tags: | |
| phase: P1 | |
| domain: math | |
| hyperparams: | |
| model: | |
| base_model_id: mistralai/Mistral-7B-Instruct-v0.3 | |
| model_family: mistral | |
| target_modules: | |
| - q_proj | |
| - k_proj | |
| - v_proj | |
| - o_proj | |
| - gate_proj | |
| - up_proj | |
| - down_proj | |
| dataset: | |
| name: DigitalLearningGmbH/MATH-lighteval | |
| split: train | |
| text_field: problem | |
| max_samples: null | |
| eval_samples: 256 | |
| config: null | |
| domain: math | |
| slug: math | |
| format: math | |
| min_level: 3 | |
| sequence: | |
| max_length: 2048 | |
| packing: true | |
| lora: | |
| r: 16 | |
| alpha: 32 | |
| dropout: 0.05 | |
| target_modules: | |
| - q_proj | |
| - k_proj | |
| - v_proj | |
| - o_proj | |
| - gate_proj | |
| - up_proj | |
| - down_proj | |
| optimization: | |
| num_train_epochs: 3 | |
| per_device_batch_size: 4 | |
| gradient_accumulation_steps: 8 | |
| learning_rate: 0.0002 | |
| warmup_ratio: 0.05 | |
| weight_decay: 0.01 | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| checkpointing: | |
| num_checkpoints: 8 | |
| save_total_limit: 64 | |
| schedule: log | |
| save_steps: null | |
| runtime: | |
| logging_steps: 20 | |
| bf16: true | |
| gradient_checkpointing: true | |
| wandb: true | |
| wandb_project: amr-fma-train | |
| hf_push: true | |
| hf_org: tkwiecinski | |
| hf_visibility: public | |
| force_restart: false | |
| sdpo: null | |
| evaluation: | |
| enabled: true | |
| eval_steps: 200 | |
| strategy: steps | |
| prompt_style: null | |
| final_adapter_path: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/adapter_final | |
| total_steps: 93 | |
| checkpoints: | |
| - step: 1 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-1 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-1 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 1.108635 | |
| eval_runtime: 11.0878 | |
| eval_samples_per_second: 3.878 | |
| eval_steps_per_second: 0.992 | |
| eval_perplexity: 3.030218 | |
| hf_revision: step-00001 | |
| hf_commit: e76fd3c19b411c5b856aa59ccb3e92d32757f0d2 | |
| - step: 3 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-3 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-3 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.950765 | |
| eval_runtime: 5.6387 | |
| eval_samples_per_second: 7.626 | |
| eval_steps_per_second: 1.951 | |
| eval_perplexity: 2.587689 | |
| hf_revision: step-00003 | |
| hf_commit: dac43bb3ac8a2e0c4acef6d26599f0c16cebf105 | |
| - step: 6 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-6 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-6 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.866825 | |
| eval_runtime: 5.6314 | |
| eval_samples_per_second: 7.636 | |
| eval_steps_per_second: 1.953 | |
| eval_perplexity: 2.379345 | |
| hf_revision: step-00006 | |
| hf_commit: e2c0177b5bede9c24ac460ebdae7ce6fc2a2c79b | |
| - step: 13 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-13 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-13 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.773847 | |
| eval_runtime: 5.6448 | |
| eval_samples_per_second: 7.618 | |
| eval_steps_per_second: 1.949 | |
| eval_perplexity: 2.168091 | |
| hf_revision: step-00013 | |
| hf_commit: 5be6dd06a400b76e43e0dbf1d046e787eb447450 | |
| - step: 25 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-25 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-25 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.737343 | |
| eval_runtime: 5.6696 | |
| eval_samples_per_second: 7.584 | |
| eval_steps_per_second: 1.94 | |
| eval_perplexity: 2.090374 | |
| hf_revision: step-00025 | |
| hf_commit: 6a2530e16479ece0e6696352db96c219b9e33681 | |
| - step: 48 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-48 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-48 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.712156 | |
| eval_runtime: 5.6717 | |
| eval_samples_per_second: 7.582 | |
| eval_steps_per_second: 1.939 | |
| eval_perplexity: 2.038382 | |
| hf_revision: step-00048 | |
| hf_commit: 544a8253cd43902acbac07717b162d04b1df32d3 | |
| - step: 92 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-92 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-92 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.712564 | |
| eval_runtime: 5.6626 | |
| eval_samples_per_second: 7.594 | |
| eval_steps_per_second: 1.943 | |
| eval_perplexity: 2.039213 | |
| hf_revision: step-00092 | |
| hf_commit: 20990e24539efa1eb4bd32ba09988851e3c4e28e | |
| - step: 93 | |
| dir: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-93 | |
| artifact: /capstor/scratch/cscs/tkwiecinski/amr-fma/train/Mistral-7B-Instruct-v0.3/lora_sft/math/p1_sft_math_tooluse__s42/checkpoint-93 | |
| metadata: | |
| source: trainer_on_save | |
| metrics: | |
| eval_loss: 0.712486 | |
| eval_runtime: 5.6564 | |
| eval_samples_per_second: 7.602 | |
| eval_steps_per_second: 1.945 | |
| eval_perplexity: 2.039054 | |
| hf_revision: step-00093 | |
| hf_commit: f6ac6dfaa1db707aca9796dc79af6620cdd4ce61 | |
| wandb_run_id: gz9oxnrb | |
| wandb_eval_run_ids: {} | |
| hf_repo_id: tkwiecinski/amr-fma-Mistral-7B-Instruct-v0.3-lora_sft-math-p1_sft_math_tooluse-s42 | |