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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/Qwen2.5-7B |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: 65d5a49c-131a-4264-bdee-0528e6e3269d |
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<br> |
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# 65d5a49c-131a-4264-bdee-0528e6e3269d |
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5064 |
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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: 0.000218 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 180 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_BNB 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_steps: 50 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0009 | 1 | 1.9540 | |
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| 1.4327 | 0.0430 | 50 | 1.7293 | |
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| 1.4125 | 0.0859 | 100 | 1.7308 | |
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| 1.4084 | 0.1289 | 150 | 1.7576 | |
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| 1.3948 | 0.1718 | 200 | 1.6833 | |
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| 1.4067 | 0.2148 | 250 | 1.6334 | |
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| 1.479 | 0.2577 | 300 | 1.5825 | |
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| 1.447 | 0.3007 | 350 | 1.5370 | |
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| 1.1546 | 0.3436 | 400 | 1.5104 | |
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| 1.2333 | 0.3866 | 450 | 1.5094 | |
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| 1.3885 | 0.4296 | 500 | 1.5064 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
