---
library_name: transformers
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr0-7b-ultra-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. -->

# zephyr0-7b-ultra-dpo

This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5302
- Rewards/chosen: -1.0376
- Rewards/rejected: -1.8238
- Rewards/accuracies: 0.7422
- Rewards/margins: 0.7863
- Logps/rejected: -410.1681
- Logps/chosen: -326.1224
- Logits/rejected: -1.9724
- Logits/chosen: -2.0723

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- 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: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5846        | 0.2060 | 100  | 0.5656          | -0.7501        | -1.1978          | 0.6797             | 0.4477          | -347.5626      | -297.3736    | -2.4976         | -2.5597       |
| 0.5397        | 0.4119 | 200  | 0.5447          | -1.2075        | -1.8283          | 0.7344             | 0.6208          | -410.6155      | -343.1137    | -2.1704         | -2.2467       |
| 0.5186        | 0.6179 | 300  | 0.5416          | -0.9175        | -1.6245          | 0.75               | 0.7071          | -390.2354      | -314.1128    | -2.0885         | -2.1736       |
| 0.5143        | 0.8239 | 400  | 0.5321          | -1.0168        | -1.7802          | 0.7344             | 0.7634          | -405.8048      | -324.0463    | -2.0197         | -2.1154       |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0