---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-hh-harmless-8xh200
tags:
- alignment-handbook
- margin-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: llama-3-8b-base-margin-dpo-hh-harmless-8xh200-20260410-180850
  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-base-margin-dpo-hh-harmless-8xh200-20260410-180850

This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-harmless-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-harmless-8xh200) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5388
- Margin Dpo/margin Mean: 7.1205
- Margin Dpo/margin Std: 10.4987
- Logps/chosen: -80.9964
- Logps/rejected: -92.9393
- Logps/ref Chosen: -71.4909
- Logps/ref Rejected: -76.3133
- Logits/chosen: -0.4986
- Logits/rejected: -0.4860

## 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 |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
| 0.6266        | 0.3030 | 100  | 0.6174          | 2.2836                 | 3.9974                | -75.6156     | -82.7216       | -71.4909         | -76.3133           | -0.5741       | -0.5577         |
| 0.5253        | 0.6061 | 200  | 0.5437          | 6.4618                 | 9.5445                | -79.5821     | -90.8664       | -71.4909         | -76.3133           | -0.5200       | -0.5068         |
| 0.5534        | 0.9091 | 300  | 0.5388          | 7.1205                 | 10.4987               | -80.9964     | -92.9393       | -71.4909         | -76.3133           | -0.4986       | -0.4860         |


### Framework versions

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