Model save

README.md

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+---
+library_name: peft
+base_model: peiyi9979/math-shepherd-mistral-7b-prm
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: v1_5_mistral_lora32
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# v1_5_mistral_lora32
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.3153
+- Accuracy: 0.8614
+- Precision: 0.7273
+- Recall: 0.7547
+- F1: 0.7407
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 765837
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0      | 0    | 0.5958          | 0.7376   | 0.5       | 0.0660 | 0.1167 |
+| 0.6819        | 0.0575 | 20   | 0.5694          | 0.7450   | 0.6154    | 0.0755 | 0.1345 |
+| 0.4789        | 0.1149 | 40   | 0.4776          | 0.7550   | 0.5263    | 0.6604 | 0.5858 |
+| 0.4108        | 0.1724 | 60   | 0.4043          | 0.8045   | 0.6286    | 0.6226 | 0.6256 |
+| 0.3486        | 0.2299 | 80   | 0.3752          | 0.8366   | 0.6961    | 0.6698 | 0.6827 |
+| 0.2936        | 0.2874 | 100  | 0.3650          | 0.8465   | 0.7115    | 0.6981 | 0.7048 |
+| 0.3788        | 0.3448 | 120  | 0.3579          | 0.8465   | 0.6864    | 0.7642 | 0.7232 |
+| 0.3918        | 0.4023 | 140  | 0.3483          | 0.8564   | 0.7449    | 0.6887 | 0.7157 |
+| 0.3386        | 0.4598 | 160  | 0.3409          | 0.8614   | 0.7193    | 0.7736 | 0.7455 |
+| 0.2864        | 0.5172 | 180  | 0.3257          | 0.8663   | 0.75      | 0.7358 | 0.7429 |
+| 0.2581        | 0.5747 | 200  | 0.3223          | 0.8663   | 0.7407    | 0.7547 | 0.7477 |
+| 0.3373        | 0.6322 | 220  | 0.3174          | 0.8663   | 0.75      | 0.7358 | 0.7429 |
+| 0.3006        | 0.6897 | 240  | 0.3172          | 0.8564   | 0.7222    | 0.7358 | 0.7290 |
+| 0.3157        | 0.7471 | 260  | 0.3143          | 0.8639   | 0.7339    | 0.7547 | 0.7442 |
+| 0.291         | 0.8046 | 280  | 0.3137          | 0.8639   | 0.7339    | 0.7547 | 0.7442 |
+| 0.2578        | 0.8621 | 300  | 0.3168          | 0.8639   | 0.7339    | 0.7547 | 0.7442 |
+| 0.3223        | 0.9195 | 320  | 0.3157          | 0.8614   | 0.7273    | 0.7547 | 0.7407 |
+| 0.3448        | 0.9770 | 340  | 0.3153          | 0.8614   | 0.7273    | 0.7547 | 0.7407 |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "peiyi9979/math-shepherd-mistral-7b-prm",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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