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aslinguist/mistral-lora-Amis

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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mistral-lora-Amis

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: nan

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: 0.001
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 20
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.32851.04081.3871
1.17972.08161.3394
1.20613.012241.3214
1.07394.016321.3394
1.08425.020401.3680
6.61476.02448nan

Framework versions

  • —PEFT 0.15.0
  • —Transformers 4.50.1
  • —Pytorch 2.2.0+cu121
  • —Datasets 3.4.1
  • —Tokenizers 0.21.1