73 lines
2.0 KiB
Markdown
73 lines
2.0 KiB
Markdown
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---
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library_name: transformers
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license: other
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# base_model: /home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: reasoning_test
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results: []
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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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# reasoning_test
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<!-- 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. -->
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It achieves the following results on the evaluation set:
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- Loss: 0.0904
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 32
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- total_eval_batch_size: 2
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- optimizer: Use 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: 25.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 0.0385 | 3.5039 | 25 | 0.0498 |
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| 0.0047 | 7.1260 | 50 | 0.0598 |
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| 0.001 | 10.6299 | 75 | 0.0682 |
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| 0.0002 | 14.2520 | 100 | 0.0857 |
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| 0.0 | 17.7559 | 125 | 0.0882 |
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| 0.0 | 21.3780 | 150 | 0.0904 |
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| 0.0 | 24.8819 | 175 | 0.0904 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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