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--- |
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library_name: peft |
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base_model: NousResearch/Yarn-Llama-2-7b-64k |
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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: 09da2b92-cb46-444d-93a0-8ca82cf3071b |
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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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# 09da2b92-cb46-444d-93a0-8ca82cf3071b |
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This model is a fine-tuned version of [NousResearch/Yarn-Llama-2-7b-64k](https://huggingface.co/NousResearch/Yarn-Llama-2-7b-64k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4395 |
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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: 0.000204 |
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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 | 0.0001 | 1 | 1.9391 | |
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| 3.2203 | 0.0042 | 50 | 1.6106 | |
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| 3.357 | 0.0083 | 100 | 1.6544 | |
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| 3.2823 | 0.0125 | 150 | 1.6403 | |
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| 3.3158 | 0.0167 | 200 | 1.5910 | |
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| 3.1395 | 0.0208 | 250 | 1.5721 | |
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| 3.1858 | 0.0250 | 300 | 1.5131 | |
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| 3.3376 | 0.0292 | 350 | 1.4698 | |
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| 3.0556 | 0.0334 | 400 | 1.4484 | |
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| 3.2623 | 0.0375 | 450 | 1.4412 | |
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| 3.2508 | 0.0417 | 500 | 1.4395 | |
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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 |
