README.md

metadata

license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
  - alignment-handbook
  - trl
  - orpo
  - generated_from_trainer
  - trl
  - orpo
  - generated_from_trainer
datasets:
  - nlee-208/uf-mistral-iopo-iter1-short
model-index:
  - name: uf-mistral-it-sft-iopo-iter1-short
    results: []

uf-mistral-it-sft-iopo-iter1-short

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nlee-208/uf-mistral-iopo-iter1-short 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-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Framework versions

• Transformers 4.42.4
• Pytorch 2.1.2.post303
• Datasets 2.18.0
• Tokenizers 0.19.1