README.md

metadata

base_model: mistralai/Mistral-7B-v0.1
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - maxidl/distilabel-capybara-dpo-7k-binarized_en_de
model-index:
  - name: Mistral-7B-v0.1-capybara-orpo-en-de
    results: []

Mistral-7B-v0.1-capybara-orpo-en-de

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the maxidl/distilabel-capybara-dpo-7k-binarized_en_de 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: 5e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 32
• total_train_batch_size: 128
• total_eval_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: inverse_sqrt
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2