TrevorJS / mtg-mistral-7b-instruct-lora

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Model's Last Updated: October 02 2023

Introduction of mtg-mistral-7b-instruct-lora

Model Details of mtg-mistral-7b-instruct-lora

results

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset.

Model description

More information needed

Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • training_steps: 500
Training results
Framework versions
  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0

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Updated:September 18 2023