---
library_name: transformers
base_model: jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452
tags:
- alignment-handbook
- beta-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: qwen3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260424-013732
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260424-013732

This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452](https://huggingface.co/jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6505
- Beta Dpo/gap Mean: 25.7183
- Beta Dpo/gap Std: 26.1829
- Beta Dpo/beta Used Raw: -0.2537
- Beta Dpo/beta Used: 0.0212
- Beta Dpo/mask Keep Frac: 1.0
- Logits/chosen: -1.6123
- Logits/rejected: -1.2796

## 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 | Beta Dpo/gap Mean | Beta Dpo/gap Std | Beta Dpo/beta Used Raw | Beta Dpo/beta Used | Beta Dpo/mask Keep Frac | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|:----------------:|:----------------------:|:------------------:|:-----------------------:|:-------------:|:---------------:|
| 1.1246        | 0.1468 | 100  | 0.6499          | 4.6173            | 6.2353           | -0.0000                | 0.0293             | 1.0                     | -0.1879       | 0.0487          |
| 0.313         | 0.2937 | 200  | 0.6346          | 12.9809           | 14.5981          | -0.0999                | 0.0229             | 1.0                     | -1.1708       | -0.8922         |
| 0.6858        | 0.4405 | 300  | 0.6556          | 19.2389           | 20.8328          | -0.2038                | 0.0146             | 1.0                     | -1.4133       | -1.1126         |
| 0.7246        | 0.5874 | 400  | 0.6605          | 25.6196           | 25.0584          | -0.3654                | 0.0094             | 1.0                     | -1.5698       | -1.2495         |
| 0.9705        | 0.7342 | 500  | 0.6340          | 24.0392           | 26.5263          | -0.1783                | 0.0322             | 1.0                     | -1.7312       | -1.4078         |
| 0.8177        | 0.8811 | 600  | 0.6505          | 25.7183           | 26.1829          | -0.2537                | 0.0212             | 1.0                     | -1.6123       | -1.2796         |


### Framework versions

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