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---
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library_name: peft
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license: other
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base_model: Qwen/Qwen2.5-Coder-3B
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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model-index:
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- name: train_2025-04-13-11-42-17
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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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# train_2025-04-13-11-42-17 |
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This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) on the hccsri dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0146 |
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- Num Input Tokens Seen: 304528 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.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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- num_epochs: 1.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| 3.3828 | 0.0421 | 100 | 3.3995 | 12336 | |
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| 3.7301 | 0.0842 | 200 | 3.3119 | 25168 | |
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| 2.7913 | 0.1263 | 300 | 3.2942 | 38256 | |
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| 2.9739 | 0.1684 | 400 | 3.2371 | 51344 | |
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| 2.4265 | 0.2105 | 500 | 3.2291 | 64896 | |
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| 3.2421 | 0.2526 | 600 | 3.1979 | 77584 | |
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| 3.1406 | 0.2947 | 700 | 3.1769 | 89952 | |
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| 3.1426 | 0.3368 | 800 | 3.1570 | 102976 | |
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| 3.101 | 0.3789 | 900 | 3.1375 | 115536 | |
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| 3.3436 | 0.4211 | 1000 | 3.1259 | 129104 | |
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| 3.2059 | 0.4632 | 1100 | 3.0889 | 142176 | |
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| 3.2607 | 0.5053 | 1200 | 3.0811 | 155360 | |
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| 2.8431 | 0.5474 | 1300 | 3.0604 | 168080 | |
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| 3.3622 | 0.5895 | 1400 | 3.0450 | 181424 | |
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| 2.2921 | 0.6316 | 1500 | 3.0402 | 193696 | |
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| 3.1937 | 0.6737 | 1600 | 3.0319 | 206800 | |
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| 3.2635 | 0.7158 | 1700 | 3.0285 | 219920 | |
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| 2.9374 | 0.7579 | 1800 | 3.0246 | 232224 | |
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| 3.3592 | 0.8 | 1900 | 3.0196 | 244976 | |
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| 3.1163 | 0.8421 | 2000 | 3.0173 | 256912 | |
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| 2.8533 | 0.8842 | 2100 | 3.0168 | 270112 | |
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| 3.6021 | 0.9263 | 2200 | 3.0151 | 282512 | |
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| 3.2839 | 0.9684 | 2300 | 3.0146 | 295680 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.1 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
