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Model: CAS-SIAT-XinHai/MeasHalu-3B-Instruct
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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

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