CoolFace
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AaBk786/model

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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Model Card

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model

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

  • Loss: 0.7239

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: 0.0003
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 16
  • optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 10
  • num_epochs: 2
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.22251.0540.8883
0.68502.01080.7239

Framework versions

  • PEFT 0.19.1
  • Transformers 5.8.1
  • Pytorch 2.10.0+cu128
  • Datasets 4.8.5
  • Tokenizers 0.22.2