---
base_model: meta-llama/Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- llama-factory
- lora
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama-3.1-8B-Instruct-SAA
  results: []
---

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# Llama-3.1-8B-Instruct-SAA

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the bct_non_cot_dpo_1000 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2005
- Rewards/chosen: -0.0159
- Rewards/rejected: -0.0611
- Rewards/accuracies: 0.8300
- Rewards/margins: 0.0452
- Logps/rejected: -0.6110
- Logps/chosen: -0.1590
- Logits/rejected: -0.4566
- Logits/chosen: -0.3865
- Sft Loss: 0.0178
- Odds Ratio Loss: 1.8274

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_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: 3.0

### Training results



### Framework versions

- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.20.0