MindChat-Qwen-7B-Full-0220

This model is a fine-tuned version of /workspace/qwen/Qwen-7B on the MOSS, the safety, the MindChat1, the selfcognition_mindchat and the self-cognition-instuctions datasets.

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: 4
• evalbatchsize: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 7
• gradientaccumulationsteps: 16
• totaltrainbatch_size: 448
• totalevalbatch_size: 56
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lrschedulertype: cosine
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0
• Datasets 2.16.1
• Tokenizers 0.15.0