---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-hh-helpful-8xh200
tags:
- alignment-handbook
- margin-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: llama-3-8b-base-margin-dpo-hh-helpful-8xh200-20260410-172009
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama-3-8b-base-margin-dpo-hh-helpful-8xh200-20260410-172009

This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-helpful-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-helpful-8xh200) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4588
- Margin Dpo/margin Mean: 11.1187
- Margin Dpo/margin Std: 15.0696
- Logps/chosen: -119.7147
- Logps/rejected: -113.9535
- Logps/ref Chosen: -97.0617
- Logps/ref Rejected: -80.1818
- Logits/chosen: -0.5876
- Logits/rejected: -0.5495

## 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-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
| 0.4265        | 0.2941 | 100  | 0.5427          | 5.3418                 | 10.0613               | -107.1989    | -95.6607       | -97.0617         | -80.1818           | -0.6361       | -0.6086         |
| 0.3411        | 0.5882 | 200  | 0.4754          | 10.2996                | 14.6526               | -119.3164    | -112.7360      | -97.0617         | -80.1818           | -0.6021       | -0.5640         |
| 0.3552        | 0.8824 | 300  | 0.4588          | 11.1187                | 15.0696               | -119.7147    | -113.9535      | -97.0617         | -80.1818           | -0.5876       | -0.5495         |


### Framework versions

- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4