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ben-wycliff/sexed-mistral-7b-sft-lora

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

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sexed-mistral-7b-sft-lora

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

  • —Loss: 0.2681

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: 0.0001
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 128
  • —totaltrainbatch_size: 512
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —num_epochs: 20

Training results

Training LossEpochStepValidation Loss
0.50690.838040.4851
0.41881.885490.4025
0.34612.9329140.3485
0.32043.9804190.3211
0.30534.8183230.3053
0.29145.8658280.2923
0.28026.9133330.2851
0.27337.9607380.2795
0.2738.7987420.2762
0.27469.8462470.2732
0.267310.8936520.2709
0.259111.9411570.2695
0.260212.9885620.2686
0.2613.8265660.2683
0.266814.8740710.2682
0.259815.9214760.2681
0.2616.7594800.2681

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.40.2
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1