---
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanqiang/wdpo/runs/dnn9mazg)
# zephyr-7b-dpo-full

This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5417
- Rewards/chosen: -2.1562
- Rewards/rejected: -2.8807
- Rewards/accuracies: 0.7313
- Rewards/margins: 0.7245
- Logps/rejected: -438.7701
- Logps/chosen: -359.8675
- Logits/rejected: 0.5902
- Logits/chosen: 0.3561

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.679         | 0.0796 | 100  | 0.6759          | -0.1436        | -0.1818          | 0.5998             | 0.0382          | -168.8750      | -158.6036    | -2.6862         | -2.6943       |
| 0.5947        | 0.1592 | 200  | 0.6027          | -1.5133        | -2.0123          | 0.6679             | 0.4990          | -351.9330      | -295.5727    | -1.6083         | -1.6620       |
| 0.578         | 0.2388 | 300  | 0.5751          | -1.2683        | -1.7143          | 0.6894             | 0.4460          | -322.1284      | -271.0768    | -1.3925         | -1.5128       |
| 0.5575        | 0.3183 | 400  | 0.5613          | -1.7874        | -2.4481          | 0.7052             | 0.6607          | -395.5074      | -322.9848    | -0.2511         | -0.4263       |
| 0.5311        | 0.3979 | 500  | 0.5601          | -2.0743        | -2.7782          | 0.7248             | 0.7039          | -428.5196      | -351.6741    | 0.1321          | -0.1444       |
| 0.5658        | 0.4775 | 600  | 0.5562          | -1.9576        | -2.6629          | 0.7192             | 0.7053          | -416.9899      | -340.0069    | 0.9125          | 0.6661        |
| 0.556         | 0.5571 | 700  | 0.5502          | -2.1146        | -2.7825          | 0.7201             | 0.6678          | -428.9443      | -355.7084    | 0.9969          | 0.7302        |
| 0.5285        | 0.6367 | 800  | 0.5477          | -2.1980        | -2.9456          | 0.7229             | 0.7476          | -445.2567      | -364.0405    | 0.8564          | 0.6029        |
| 0.5299        | 0.7163 | 900  | 0.5450          | -2.1121        | -2.8512          | 0.7341             | 0.7391          | -435.8159      | -355.4508    | 0.9832          | 0.7089        |
| 0.5629        | 0.7959 | 1000 | 0.5440          | -2.1483        | -2.8941          | 0.7323             | 0.7457          | -440.1051      | -359.0749    | 0.7033          | 0.4600        |
| 0.5351        | 0.8754 | 1100 | 0.5423          | -2.1496        | -2.8571          | 0.7304             | 0.7074          | -436.4062      | -359.2066    | 0.5029          | 0.2753        |
| 0.5499        | 0.9550 | 1200 | 0.5417          | -2.1562        | -2.8807          | 0.7313             | 0.7245          | -438.7701      | -359.8675    | 0.5902          | 0.3561        |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1