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: v3c_mistral_lora_lastn
+  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. -->
+
+# v3c_mistral_lora_lastn
+
+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: 0.3067
+- Accuracy: 0.8592
+- Precision: 0.8580
+- Recall: 0.5968
+- F1: 0.7040
+
+## 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: 4
+- total_train_batch_size: 128
+- 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    | 0.6026          | 0.7339   | 0.6       | 0.1542 | 0.2453 |
+| 0.5522        | 0.0495 | 20   | 0.5768          | 0.7395   | 0.5682    | 0.2964 | 0.3896 |
+| 0.4818        | 0.0990 | 40   | 0.4859          | 0.7761   | 0.6835    | 0.3755 | 0.4847 |
+| 0.3892        | 0.1485 | 60   | 0.4218          | 0.7982   | 0.6766    | 0.5375 | 0.5991 |
+| 0.2916        | 0.1980 | 80   | 0.3747          | 0.8237   | 0.7701    | 0.5296 | 0.6276 |
+| 0.2191        | 0.2475 | 100  | 0.3538          | 0.8304   | 0.7778    | 0.5534 | 0.6467 |
+| 0.2189        | 0.2970 | 120  | 0.3754          | 0.8248   | 0.88      | 0.4348 | 0.5820 |
+| 0.1841        | 0.3465 | 140  | 0.3427          | 0.8415   | 0.8438    | 0.5336 | 0.6538 |
+| 0.2144        | 0.3960 | 160  | 0.3301          | 0.8404   | 0.8303    | 0.5415 | 0.6555 |
+| 0.2638        | 0.4455 | 180  | 0.3202          | 0.8470   | 0.8485    | 0.5534 | 0.6699 |
+| 0.2032        | 0.4950 | 200  | 0.3125          | 0.8570   | 0.8370    | 0.6087 | 0.7048 |
+| 0.1703        | 0.5446 | 220  | 0.3295          | 0.8337   | 0.8552    | 0.4901 | 0.6231 |
+| 0.175         | 0.5941 | 240  | 0.3116          | 0.8503   | 0.8471    | 0.5692 | 0.6809 |
+| 0.1927        | 0.6436 | 260  | 0.3218          | 0.8459   | 0.8654    | 0.5336 | 0.6601 |
+| 0.1848        | 0.6931 | 280  | 0.3069          | 0.8647   | 0.8659    | 0.6126 | 0.7176 |
+| 0.222         | 0.7426 | 300  | 0.3036          | 0.8581   | 0.8613    | 0.5889 | 0.6995 |
+| 0.1693        | 0.7921 | 320  | 0.3096          | 0.8525   | 0.8614    | 0.5652 | 0.6826 |
+| 0.1752        | 0.8416 | 340  | 0.3108          | 0.8503   | 0.8554    | 0.5613 | 0.6778 |
+| 0.2353        | 0.8911 | 360  | 0.3072          | 0.8592   | 0.8580    | 0.5968 | 0.7040 |
+| 0.1984        | 0.9406 | 380  | 0.3078          | 0.8603   | 0.8629    | 0.5968 | 0.7056 |
+| 0.2194        | 0.9901 | 400  | 0.3067          | 0.8592   | 0.8580    | 0.5968 | 0.7040 |
+
+
+### 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": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:3f3440bf5c8a4e83f17c74cfd3652193c7a1486377c20db759d6e102d5a9d0cd
+size 27280152