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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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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1720 |
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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: 2e-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: 4 |
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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_steps: 2 |
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- num_epochs: 10 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3062 | 0.9849 | 49 | 1.2361 | |
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| 1.2408 | 1.9849 | 98 | 1.2071 | |
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| 1.2022 | 2.9849 | 147 | 1.1921 | |
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| 1.1692 | 3.9849 | 196 | 1.1827 | |
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| 1.14 | 4.9849 | 245 | 1.1768 | |
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| 1.1199 | 5.9849 | 294 | 1.1735 | |
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| 1.0947 | 6.9849 | 343 | 1.1710 | |
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| 1.0815 | 7.9849 | 392 | 1.1709 | |
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| 1.0674 | 8.9849 | 441 | 1.1716 | |
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| 1.04 | 9.9849 | 490 | 1.1720 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
