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.ipynb_checkpoints/README-checkpoint.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: abacusai/Smaug-72B-v0.1
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model-index:
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- name: train_2024-02-17-03-49-55
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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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# train_2024-02-17-03-49-55
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This model is a fine-tuned version of [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) on the Neural-DPO dataset.
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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: 0.001
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- train_batch_size: 2
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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: 8
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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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- num_epochs: 3.0
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### Training results
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.37.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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