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v3_mistral_lora

PEFT
Safetensors
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  1. README.md +132 -0
  2. adapter_config.json +29 -0
  3. adapter_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ base_model: peiyi9979/math-shepherd-mistral-7b-prm
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: v3_mistral_lora
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # v3_mistral_lora
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+
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+ This model is a fine-tuned version of [peiyi9979/math-shepherd-mistral-7b-prm](https://huggingface.co/peiyi9979/math-shepherd-mistral-7b-prm) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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+ - Accuracy: 1.0
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+ - Precision: 1.0
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+ - Recall: 1.0
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+ - F1: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 8569382
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0 | 0 | 0.4941 | 0.7546 | 0.6364 | 0.2526 | 0.3616 |
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+ | 0.483 | 0.0169 | 20 | 0.4898 | 0.7645 | 0.7 | 0.2526 | 0.3712 |
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+ | 0.5491 | 0.0339 | 40 | 0.4646 | 0.7716 | 0.7705 | 0.2423 | 0.3686 |
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+ | 0.3868 | 0.0508 | 60 | 0.3927 | 0.8014 | 0.8462 | 0.3402 | 0.4853 |
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+ | 0.2752 | 0.0678 | 80 | 0.2430 | 0.9149 | 0.9589 | 0.7216 | 0.8235 |
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+ | 0.1319 | 0.0847 | 100 | 0.0990 | 0.9716 | 0.9531 | 0.9433 | 0.9482 |
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+ | 0.0971 | 0.1017 | 120 | 0.0422 | 0.9915 | 0.9747 | 0.9948 | 0.9847 |
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+ | 0.0478 | 0.1186 | 140 | 0.0120 | 0.9986 | 1.0 | 0.9948 | 0.9974 |
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+ | 0.0373 | 0.1356 | 160 | 0.0099 | 0.9986 | 1.0 | 0.9948 | 0.9974 |
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+ | 0.0357 | 0.1525 | 180 | 0.0073 | 0.9972 | 0.9948 | 0.9948 | 0.9948 |
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+ | 0.0147 | 0.1695 | 200 | 0.0105 | 0.9986 | 1.0 | 0.9948 | 0.9974 |
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+ | 0.0271 | 0.1864 | 220 | 0.0075 | 0.9986 | 1.0 | 0.9948 | 0.9974 |
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+ | 0.0071 | 0.2034 | 240 | 0.0073 | 0.9986 | 1.0 | 0.9948 | 0.9974 |
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+ | 0.009 | 0.2203 | 260 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0288 | 0.2373 | 280 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0236 | 0.2542 | 300 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0053 | 0.2712 | 320 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0028 | 0.2881 | 340 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.015 | 0.3051 | 360 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0446 | 0.3220 | 380 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0261 | 0.3390 | 400 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0032 | 0.3559 | 420 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0413 | 0.3729 | 440 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0189 | 0.3898 | 460 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.003 | 0.4068 | 480 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0071 | 0.4237 | 500 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0139 | 0.4407 | 520 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0161 | 0.4576 | 540 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0027 | 0.4746 | 560 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0039 | 0.4915 | 580 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0067 | 0.5085 | 600 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.012 | 0.5254 | 620 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.006 | 0.5424 | 640 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0025 | 0.5593 | 660 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0055 | 0.5763 | 680 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0116 | 0.5932 | 700 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.014 | 0.6102 | 720 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0042 | 0.6271 | 740 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0418 | 0.6441 | 760 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0024 | 0.6610 | 780 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0039 | 0.6780 | 800 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0048 | 0.6949 | 820 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0007 | 0.7119 | 840 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0014 | 0.7288 | 860 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0056 | 0.7458 | 880 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0107 | 0.7627 | 900 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0027 | 0.7797 | 920 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0105 | 0.7966 | 940 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0157 | 0.8136 | 960 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0082 | 0.8305 | 980 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0084 | 0.8475 | 1000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0182 | 0.8644 | 1020 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0053 | 0.8814 | 1040 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0087 | 0.8983 | 1060 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0017 | 0.9153 | 1080 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0058 | 0.9322 | 1100 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0015 | 0.9492 | 1120 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0059 | 0.9661 | 1140 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0069 | 0.9831 | 1160 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0058 | 1.0 | 1180 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.46.0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "peiyi9979/math-shepherd-mistral-7b-prm",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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