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llama2-hotpot-finetune – AI Model by journeygenie | AlphaNeural AI

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llama2-hotpot-finetune

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NousResearch/Llama-2-7b-hf

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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