Siqi-Hu/Llama2-7B-lora-r-32-finetuned-epoch-4

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Llama2-7B-lora-r-32-finetuned-epoch-4

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.9852

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.45.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.2.0
• —Tokenizers 0.20.3