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--- |
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base_model: unsloth/Meta-Llama-3.1-8B |
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library_name: peft |
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license: llama3.1 |
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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: adventure-nemo-ws |
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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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# Meta-Llama-3.1-8B-Adventure-QLoRA |
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This LoRA is trained on Llama 3.1 8B **base** using completion format. |
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The datasets used were: |
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- Spring Dragon |
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- Skein |
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This is not an instruct model and **no instruct format was used.** |
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The intended use is with text completion where user input is given with `> User Input`. This is the default for Kobold Lite Adventure mode. |
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If merged into an instruct model, it should impart the flavor of the text adventure data. Use whatever the instruct model's format is for instruct. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_min_lr |
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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 0.12.0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
