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README.md ADDED
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+ ---
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+ license: other
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+ base_model: microsoft/Orca-2-13b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qlora
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+ results: []
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+ ---
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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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+
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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ # qlora
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+
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+ This model is a fine-tuned version of [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6529
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 6
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+ - eval_batch_size: 6
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+ - seed: 42
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+ - gradient_accumulation_steps: 6
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+ - total_train_batch_size: 36
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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: 15
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0484 | 1.23 | 20 | 2.6529 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "peft_type": "LORA",
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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