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llama2-hotpot-finetune
journeygenie/llama2-hotpot-finetune
llama2-hotpot-finetune is a machine learning model from journeygenie. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Feb 27, 2024
- Updated
- Apr 25, 2024
- SHA
- 9f33e8b9
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
llama2-hotpot-finetune
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the hotpot-qa dataset.
Model description
More information needed
Dataset used
https://huggingface.co/datasets/hotpot_qa
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- Type
- llama
- License
- apache-2.0
- Created
- Feb 27, 2024
- Updated
- Apr 25, 2024