---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- princeton-nlp/llama3-ultrafeedback
model-index:
- name: llama-3-8b-instruct-simpo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# llama-3-8b-instruct-simpo

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7528
- Original Losses: 2.0491
- Weight: 0.3713
- Abs Diff: 3.1759
- Rewards/chosen: -45.3959
- Rewards/rejected: -50.3664
- Rewards/accuracies: 0.6976
- Rewards/margins: 4.9705
- Logps/rejected: -20.1465
- Logps/chosen: -18.1584
- Logits/rejected: 1.8309
- Logits/chosen: 1.7177
- All Logps 1: -7614.6904
- All Logps 1 Values: -7614.6909
- All Logps 2: 414.8609
- All Logps 2 Values: 414.8609

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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

| Training Loss | Epoch  | Step | Validation Loss | Original Losses | Weight | Abs Diff | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | All Logps 1 | All Logps 1 Values | All Logps 2 | All Logps 2 Values |
|:-------------:|:------:|:----:|:---------------:|:---------------:|:------:|:--------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:-----------:|:------------------:|:-----------:|:------------------:|
| 0.7506        | 0.8549 | 400  | 0.7528          | 2.0491          | 0.3713 | 3.1759   | -45.3959       | -50.3664         | 0.6976             | 4.9705          | -20.1465       | -18.1584     | 1.8309          | 1.7177        | -7614.6904  | -7614.6909         | 414.8609    | 414.8609           |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1