README.md

metadata

license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
  - alignment-handbook
  - trl
  - orpo
  - generated_from_trainer
  - trl
  - orpo
  - generated_from_trainer
datasets:
  - orpo-explorers/OHP-15k-Stratified-1
model-index:
  - name: kaist-sft-mistral-OHP-15k-Stratified-1
    results: []

kaist-sft-mistral-OHP-15k-Stratified-1

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the orpo-explorers/OHP-15k-Stratified-1 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: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0