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abdullahfurquan/mistral_instruct_generation_own_data

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

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mistralinstructgenerationowndata

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4734

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: constant
  • lrschedulerwarmup_steps: 0.03
  • training_steps: 100

Training results

Training LossEpochStepValidation Loss
0.64762.5200.4816
0.34145.0400.3842
0.25657.5600.3931
0.197310.0800.4198
0.124512.51000.4734

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2