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rafaeloc15/mistral_instruct_generation_v2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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mistralinstructgeneration_v2

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

  • Loss: 0.0259

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
  • num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.04341.02260.0348
0.03372.04520.0259

Framework versions

  • PEFT 0.10.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.15.2