README.md

metadata

license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
  - name: mistral7b-fine-tuned-qlora
    results: []
datasets:
  - timdettmers/openassistant-guanaco

mistral7b-fine-tuned-qlora

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

Model description

Mistral-7B fine-tuned using Qlora

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