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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-14B-Instruct |
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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: coupling_model |
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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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# coupling_model |
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This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the couplingDetection_finetune_train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4664 |
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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 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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.656 | 0.1736 | 100 | 0.5767 | |
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| 0.5695 | 0.3472 | 200 | 0.5406 | |
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| 0.5849 | 0.5208 | 300 | 0.4985 | |
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| 0.527 | 0.6944 | 400 | 0.4857 | |
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| 0.4782 | 0.8681 | 500 | 0.4704 | |
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| 0.4357 | 1.0417 | 600 | 0.4712 | |
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| 0.4033 | 1.2153 | 700 | 0.4654 | |
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| 0.4438 | 1.3889 | 800 | 0.4594 | |
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| 0.4297 | 1.5625 | 900 | 0.4532 | |
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| 0.4012 | 1.7361 | 1000 | 0.4480 | |
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| 0.2866 | 1.9097 | 1100 | 0.4806 | |
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| 0.2718 | 2.0833 | 1200 | 0.4796 | |
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| 0.3169 | 2.2569 | 1300 | 0.4686 | |
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| 0.276 | 2.4306 | 1400 | 0.4692 | |
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| 0.2616 | 2.6042 | 1500 | 0.4693 | |
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| 0.2545 | 2.7778 | 1600 | 0.4671 | |
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| 0.2673 | 2.9514 | 1700 | 0.4665 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.52.4 |
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- Pytorch 2.7.0+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
