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MediaMeter/Dockerize_Mistral-7B-v0.2-Chat_0.1.1-adapters

sourceHugging Faceotherupdated 2y agoView on Hugging Face
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Model Card

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DockerizeMistral-7B-v0.2-Chat0.1.1

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the docker_NL dataset.

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: 16
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • num_epochs: 1.0

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1