---
library_name: peft
license: llama3.1
base_model: allenai/Llama-3.1-Tulu-3-8B-SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: lora_eager_Llama-3.1-Tulu-3-8B-SFT_nhn-dpo-v4-hq
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lora_eager_Llama-3.1-Tulu-3-8B-SFT_nhn-dpo-v4-hq

This model is a fine-tuned version of [allenai/Llama-3.1-Tulu-3-8B-SFT](https://huggingface.co./allenai/Llama-3.1-Tulu-3-8B-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: 2e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3