---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- Syed-Hasan-8503/orpo-40k-train-test
model-index:
- name: outputs
  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. -->

# outputs

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 Syed-Hasan-8503/orpo-40k-train-test dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9751
- Rewards/chosen: -3.4539
- Rewards/rejected: -5.6604
- Rewards/accuracies: 0.7613
- Rewards/margins: 2.2065
- Logps/rejected: -2.2642
- Logps/chosen: -1.3816
- Logits/rejected: -1.3683
- Logits/chosen: -1.2117

## 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: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.645         | 0.0140 | 50   | 1.2563          | -2.7945        | -3.7325          | 0.7027             | 0.9380          | -1.4930        | -1.1178      | -1.3468         | -1.1841       |
| 0.8722        | 0.0280 | 100  | 1.0619          | -3.0769        | -4.7343          | 0.7320             | 1.6574          | -1.8937        | -1.2308      | -1.3817         | -1.2196       |
| 1.0404        | 0.0419 | 150  | 0.9883          | -3.4545        | -5.6160          | 0.7545             | 2.1615          | -2.2464        | -1.3818      | -1.3639         | -1.2082       |
| 1.4672        | 0.0559 | 200  | 0.9751          | -3.4539        | -5.6604          | 0.7613             | 2.2065          | -2.2642        | -1.3816      | -1.3683         | -1.2117       |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1