---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
tags:
- alignment-handbook
- new-dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: llama3-8b-base-new-method-s_star0.6-20260426-230653
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama3-8b-base-new-method-s_star0.6-20260426-230653

This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5352
- Fcm Dpo/beta: 0.0111
- Margin Dpo/margin Mean: 54.0836
- Margin Dpo/margin Std: 78.0441
- Logps/chosen: -383.4114
- Logps/rejected: -416.5982
- Logps/ref Chosen: -287.8268
- Logps/ref Rejected: -266.9300
- Logits/chosen: -0.8275
- Logits/rejected: -0.8179

## 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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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 | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
| 4.6147        | 0.4188 | 200  | 0.5500          | 0.0189       | 29.6010                | 45.7477               | -320.2021    | -328.9064      | -287.8268        | -266.9300          | -0.8684       | -0.8583         |
| 4.3361        | 0.8377 | 400  | 0.5352          | 0.0111       | 54.0836                | 78.0441               | -383.4114    | -416.5982      | -287.8268        | -266.9300          | -0.8275       | -0.8179         |


### Framework versions

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