---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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](https://huggingface.co./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