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--- |
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tags: |
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- LoRA |
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- QLoRa |
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- LoRA Adapter |
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model-index: |
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- name: sql-guanaco-13b-4 |
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results: [] |
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datasets: |
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- richardr1126/spider-sql_guanaco_style |
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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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# sql-guanaco-13b-4 |
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This is a LoRA adapter for [richardr1126/guanaco-13b-merged](https://huggingface.co/richardr1126/guanaco-13b-merged), or any other merged guanaco-13b model, fine tuned from LLaMA. |
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<br> |
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This LoRA was fine-tuned on [richardr1126/sql-create-context_guanaco_style](https://huggingface.co/datasets/richardr1126/sql-create-context_guanaco_style). |
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### Training hyperparameters |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 1875 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
