aengusl/llama2-7b-sft-lora

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llama2-7b-sft-lora

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.

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: 2e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 4
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —training_steps: 2000

Framework versions

• —Transformers 4.41.0
• —Pytorch 2.1.0+cu121
• —Datasets 2.14.6
• —Tokenizers 0.19.1

Training procedure

Framework versions

• —PEFT 0.6.1