Ferdi/Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank32-2epochs

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Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank32-2epochs

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-AWQ on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4065

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: 0.0005
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1