---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: zephyr-7b-dpo-full-hh
  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. -->

# zephyr-7b-dpo-full-hh

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5341
- Rewards/chosen: -2.5112
- Rewards/rejected: -3.3276
- Rewards/accuracies: 0.7295
- Rewards/margins: 0.8164
- Logps/rejected: -485.8198
- Logps/chosen: -398.0228
- Logits/rejected: 2.4839
- Logits/chosen: 1.8909

## 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: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6755        | 0.0796 | 100  | 0.6758          | -0.1176        | -0.1618          | 0.5830             | 0.0442          | -169.2391      | -158.6626    | -2.4575         | -2.4733       |
| 0.5965        | 0.1592 | 200  | 0.5934          | -1.0644        | -1.4934          | 0.6772             | 0.4290          | -302.3988      | -253.3484    | -0.2911         | -0.5108       |
| 0.5621        | 0.2388 | 300  | 0.5712          | -1.3390        | -1.8901          | 0.6875             | 0.5511          | -342.0688      | -280.8055    | 0.3164          | -0.1607       |
| 0.551         | 0.3183 | 400  | 0.5651          | -1.2110        | -1.8230          | 0.7192             | 0.6120          | -335.3575      | -268.0063    | -0.2086         | -0.6012       |
| 0.5696        | 0.3979 | 500  | 0.5572          | -1.8231        | -2.3956          | 0.7229             | 0.5725          | -392.6161      | -329.2127    | 0.5151          | 0.0872        |
| 0.5504        | 0.4775 | 600  | 0.5508          | -1.9233        | -2.7091          | 0.7201             | 0.7858          | -423.9663      | -339.2298    | 1.2370          | 0.4867        |
| 0.5387        | 0.5571 | 700  | 0.5417          | -2.3329        | -3.1152          | 0.7211             | 0.7823          | -464.5798      | -380.1928    | 1.9107          | 1.1807        |
| 0.5119        | 0.6367 | 800  | 0.5416          | -2.6721        | -3.5027          | 0.7276             | 0.8306          | -503.3281      | -414.1180    | 3.4443          | 2.7209        |
| 0.564         | 0.7163 | 900  | 0.5385          | -2.6361        | -3.3606          | 0.7183             | 0.7245          | -489.1202      | -410.5185    | 2.5529          | 1.9952        |
| 0.5201        | 0.7959 | 1000 | 0.5347          | -2.5021        | -3.2845          | 0.7229             | 0.7824          | -481.5121      | -397.1160    | 2.4306          | 1.8888        |
| 0.5341        | 0.8754 | 1100 | 0.5346          | -2.4898        | -3.2841          | 0.7295             | 0.7943          | -481.4664      | -395.8830    | 2.3851          | 1.8147        |
| 0.5394        | 0.9550 | 1200 | 0.5341          | -2.5107        | -3.3276          | 0.7295             | 0.8168          | -485.8161      | -397.9764    | 2.4847          | 1.8912        |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1