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--- |
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library_name: peft |
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license: llama3 |
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base_model: Eurdem/Defne_llama3_2x8B |
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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: 05a9f7dd-900b-4001-b2ea-acd57578d12c |
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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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# 05a9f7dd-900b-4001-b2ea-acd57578d12c |
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This model is a fine-tuned version of [Eurdem/Defne_llama3_2x8B](https://huggingface.co/Eurdem/Defne_llama3_2x8B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5818 |
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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: 0.000206 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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 | 0.0003 | 1 | 2.4653 | |
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| 1.8497 | 0.0142 | 50 | 1.8087 | |
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| 1.8626 | 0.0284 | 100 | 2.0875 | |
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| 1.7585 | 0.0426 | 150 | 1.7172 | |
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| 1.503 | 0.0568 | 200 | 2.5064 | |
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| 1.9315 | 0.0711 | 250 | 1.7083 | |
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| 1.6444 | 0.0853 | 300 | 2.0619 | |
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| 1.8748 | 0.0995 | 350 | 1.6251 | |
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| 1.8836 | 0.1137 | 400 | 1.6406 | |
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| 1.9295 | 0.1279 | 450 | 1.5842 | |
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| 2.1817 | 0.1421 | 500 | 1.5818 | |
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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 |
