CoolFace
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irenewds/shawgpt-ft

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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shawgpt-ft

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: 1.3449

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: 0.00015
  • 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: 20
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
4.60410.923134.0265
4.16381.846263.6005
3.66732.769293.1980
2.41414.0132.7386
2.84774.9231162.4608
2.49355.8462192.2101
2.18546.7692221.9968
1.44828.0261.7341
1.71538.9231291.6110
1.55339.8462321.5225
1.49610.7692351.4710
1.053212.0391.4317
1.39412.9231421.4079
1.333813.8462451.3799
1.320114.7692481.3639
0.983816.0521.3533
1.280216.9231551.3484
1.262717.8462581.3456
0.889818.4615601.3449

Framework versions

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