FrederikKlinkby/shawgpt-finetuned-lr0.0002-wd0.01

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shawgpt-finetuned-lr0.0002-wd0.01

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.5219

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: 0.0002
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2
• —num_epochs: 12
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.44.2
• —Pytorch 2.5.0+cu124
• —Datasets 3.0.2
• —Tokenizers 0.19.1