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aryarishit/mistral-instruct-resumebot-v2

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

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mistral-instruct-resumebot-v2

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

  • —Loss: 1.8843

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: 4
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
3.7480.822.9454
2.29822.052.5691
3.03892.872.3823
1.87584.0102.1773
2.56434.8122.0769
1.61916.0151.9662
2.29416.8171.9178
1.4968.0201.8843

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.41.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1