---
license: llama3
base_model: Magpie-Align/Llama-3-8B-Magpie-Pro-MT-SFT-v0.1
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama-3-8B-Magpie-Pro-MT-UltraDPO2
  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-Magpie-Pro-MT-UltraDPO2

This model is a fine-tuned version of [Magpie-Align/Llama-3-8B-Magpie-Pro-MT-SFT-v0.1](https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Pro-MT-SFT-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6088
- Rewards/chosen: -1.6321
- Rewards/rejected: -1.9785
- Rewards/accuracies: 0.6829
- Rewards/margins: 0.3464
- Logps/rejected: -459.1051
- Logps/chosen: -418.7560
- Logits/rejected: -0.6440
- Logits/chosen: -0.6435

## 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: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.628         | 0.2138 | 100  | 0.6641          | -0.8806        | -1.0146          | 0.6240             | 0.1340          | -362.7133      | -343.6060    | -0.7539         | -0.7528       |
| 0.6935        | 0.4275 | 200  | 0.6352          | -1.3660        | -1.6311          | 0.6545             | 0.2651          | -424.3628      | -392.1437    | -0.6649         | -0.6629       |
| 0.6376        | 0.6413 | 300  | 0.6178          | -1.3533        | -1.6413          | 0.6748             | 0.2880          | -425.3859      | -390.8818    | -0.6753         | -0.6758       |
| 0.5888        | 0.8550 | 400  | 0.6088          | -1.6321        | -1.9785          | 0.6829             | 0.3464          | -459.1051      | -418.7560    | -0.6440         | -0.6435       |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1