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--- |
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base_model: mistralai/Mistral-Nemo-Instruct-2407 |
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library_name: peft |
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license: apache-2.0 |
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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: SpringDragon-NeMo-Instruct-QLoRA-ep1 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/lm-hall/SpringDragon-NeMo/runs/dghi0gyq) |
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# SpringDragon-NeMo-Instruct-QLoRA-ep1 |
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This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the SpringDragon dataset. |
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Completion format. User instructions are given with `>`. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 111 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 1 |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
