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mistral7b-fine-tuned-qlora

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metadata
license: mit
library_name: peft
tags:
  - PEFT
  - Qlora
  - mistral-7b
  - fine-tuning
base_model: mistralai/Mistral-7B-v0.1
model-index:
  - name: mistral7b-fine-tuned-qlora
    results: []
datasets:
  - timdettmers/openassistant-guanaco
pipeline_tag: text-generation
language:
  - en

Mistral7b-fine-tuned-qlora

im

Model version and Dataset

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on timdettmers/openassistant-guanaco dataset.

Usage guidance

Please refer to this notebook for a complete demo including notes regarding cloud deployment

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • training_steps: 10
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.11.2.dev0
  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1