初始化项目，由ModelHub XC社区提供模型

Model: CAS-SIAT-XinHai/MeasHalu-3B-Instruct
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+# base_model: /home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: reasoning_test
+  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. -->
+
+# reasoning_test
+
+<!-- This model is a fine-tuned version of [/home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step](https://huggingface.co//home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step) on the reasoning_test dataset. -->
+It achieves the following results on the evaluation set:
+- Loss: 0.0904
+
+## 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: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- total_eval_batch_size: 2
+- optimizer: Use 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: 25.0
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.0385        | 3.5039  | 25   | 0.0498          |
+| 0.0047        | 7.1260  | 50   | 0.0598          |
+| 0.001         | 10.6299 | 75   | 0.0682          |
+| 0.0002        | 14.2520 | 100  | 0.0857          |
+| 0.0           | 17.7559 | 125  | 0.0882          |
+| 0.0           | 21.3780 | 150  | 0.0904          |
+| 0.0           | 24.8819 | 175  | 0.0904          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0