---
license: apache-2.0
base_model: tanliboy/zephyr-qwen2-7b-sft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-qwen2-7b-dpo
  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-qwen2-7b-dpo

This model is a fine-tuned version of [tanliboy/zephyr-qwen2-7b-sft](https://huggingface.co/tanliboy/zephyr-qwen2-7b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5492
- Rewards/chosen: -0.3377
- Rewards/rejected: -0.7347
- Rewards/accuracies: 0.7120
- Rewards/margins: 0.3970
- Logps/rejected: -339.1164
- Logps/chosen: -334.2959
- Logits/rejected: 0.0096
- Logits/chosen: 0.1430

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6439        | 0.2094 | 100  | 0.6410          | -0.0729        | -0.1774          | 0.6280             | 0.1045          | -283.3870      | -307.8225    | -0.0798         | 0.0658        |
| 0.5947        | 0.4187 | 200  | 0.5743          | -0.3018        | -0.6030          | 0.6800             | 0.3013          | -325.9524      | -330.7078    | -0.0418         | 0.1044        |
| 0.5465        | 0.6281 | 300  | 0.5582          | -0.2623        | -0.6201          | 0.7080             | 0.3578          | -327.6540      | -326.7564    | 0.0043          | 0.1374        |
| 0.5513        | 0.8375 | 400  | 0.5497          | -0.3456        | -0.7435          | 0.7040             | 0.3979          | -340.0029      | -335.0901    | 0.0097          | 0.1434        |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1