---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-hh-helpful-4xh200
tags:
- alignment-handbook
- new-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: llama-3-8b-base-new-dpo-hh-helpful-s_star1.0-4xh200-batch-64-20260421-233802
  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-new-dpo-hh-helpful-s_star1.0-4xh200-batch-64-20260421-233802

This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-helpful-4xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-helpful-4xh200) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4980
- Fcm Dpo/beta: 0.0078
- Fcm Dpo/q T: 0.3364
- Fcm Dpo/delta: 0.0593
- Fcm Dpo/margin: 120.6791
- Margin Dpo/margin Mean: 120.6791
- Margin Dpo/margin Std: 173.7378
- Logps/chosen: -446.5822
- Logps/rejected: -575.0082
- Logps/ref Chosen: -79.0510
- Logps/ref Rejected: -86.7979
- Logits/chosen: 0.1581
- Logits/rejected: 0.1793

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 | Fcm Dpo/q T | Fcm Dpo/delta | Fcm Dpo/margin | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:------------:|:-----------:|:-------------:|:--------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
| 0.8238        | 0.2937 | 200  | 0.5818          | 0.0270       | 0.3663      | 0.0598        | 34.2048        | 34.2048                | 64.2965               | -136.1259    | -178.0776      | -79.0510         | -86.7979           | -0.5095       | -0.4883         |
| 0.767         | 0.5874 | 400  | 0.5232          | 0.0099       | 0.3436      | 0.0761        | 94.0497        | 94.0496                | 145.6569              | -305.7622    | -407.5587      | -79.0510         | -86.7979           | 0.0068        | 0.0285          |
| 0.8367        | 0.8811 | 600  | 0.4980          | 0.0078       | 0.3364      | 0.0593        | 120.6791       | 120.6791               | 173.7378              | -446.5822    | -575.0082      | -79.0510         | -86.7979           | 0.1581        | 0.1793          |


### Framework versions

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