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--- |
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library_name: peft |
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license: other |
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base_model: Qwen/Qwen2.5-7B-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: Limo_qwen |
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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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# Limo_qwen |
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the Limo dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7120 |
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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: 8e-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: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 4 |
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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: 0.05 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8842 | 1.0 | 12 | 0.8997 | |
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| 0.8086 | 2.0 | 24 | 0.8223 | |
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| 0.7502 | 3.0 | 36 | 0.7781 | |
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| 0.7287 | 4.0 | 48 | 0.7514 | |
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| 0.6899 | 5.0 | 60 | 0.7341 | |
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| 0.6934 | 6.0 | 72 | 0.7228 | |
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| 0.6727 | 7.0 | 84 | 0.7168 | |
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| 0.69 | 8.0 | 96 | 0.7134 | |
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| 0.6892 | 9.0 | 108 | 0.7124 | |
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| 0.6735 | 10.0 | 120 | 0.7120 | |
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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 2.8.0+cu129 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.4 |
