README.md

metadata

license: llama3
base_model: catallama/CataLlama-v0.2-Instruct-SFT
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: CataLlama-v0.2-Instruct-DPO
    results: []

CataLlama-v0.2-Instruct-DPO

GSM8K: 60.05 MMLU: 58.89

This model is a fine-tuned version of catallama/CataLlama-v0.2-Instruct-SFT on an unknown 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: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 8
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 200
• num_epochs: 2

Training results

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2