CAS-SIAT-ConsistencyAI/CoEvol-ChatGPT_Llama2-7B_SFT

CoEvol-ChatGPTLlama2-7BSFT

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the coevol-chatgpt_alpaca_random9k 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: 32
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 512
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.38.1
• —Pytorch 2.1.2+cu121
• —Datasets 2.17.1
• —Tokenizers 0.15.2