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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-Instruct |
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tags: |
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- base_model:adapter:Qwen/Qwen2.5-Coder-3B-Instruct |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: SFT-Qwen2.5-Coder-3B_long_v1 |
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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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# SFT-Qwen2.5-Coder-3B_long_v1 |
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This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7569 |
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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: 0.0001 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.9906 | 0.2807 | 20 | 0.9487 | |
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| 0.8528 | 0.5614 | 40 | 0.8620 | |
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| 0.8721 | 0.8421 | 60 | 0.8238 | |
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| 0.8059 | 1.1123 | 80 | 0.8018 | |
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| 0.8141 | 1.3930 | 100 | 0.7868 | |
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| 0.7353 | 1.6737 | 120 | 0.7767 | |
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| 0.6779 | 1.9544 | 140 | 0.7647 | |
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| 0.6273 | 2.2246 | 160 | 0.7629 | |
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| 0.6983 | 2.5053 | 180 | 0.7597 | |
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| 0.6958 | 2.7860 | 200 | 0.7569 | |
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### Framework versions |
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- PEFT 0.18.0 |
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- Transformers 4.57.1 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.4.1 |
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- Tokenizers 0.22.1 |
