Model save
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- adapter_model.bin +1 -1
README.md
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---
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base_model: NousResearch/Llama-2-7b-chat-hf
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tags:
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- generated_from_trainer
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model-index:
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- name: meta-chat
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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/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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# meta-chat
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown 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: 0.0002
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 96
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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: 10
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- num_epochs: 2
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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adapter_model.bin
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