---
library_name: transformers
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr0-7b-ultra-p-0.02
  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-p-0.02

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: 0.5172
- Rewards/chosen: -1.0774
- Rewards/rejected: -1.8857
- Rewards/accuracies: 0.75
- Rewards/margins: 0.8083
- Logps/rejected: -416.3554
- Logps/chosen: -330.1051
- Logits/rejected: -1.9304
- Logits/chosen: -2.0243

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.576         | 0.2060 | 100  | 0.5490          | -0.7973        | -1.3203          | 0.7266             | 0.5230          | -359.8105      | -302.0933    | -2.4928         | -2.5572       |
| 0.5325        | 0.4119 | 200  | 0.5335          | -1.0228        | -1.6514          | 0.7266             | 0.6287          | -392.9271      | -324.6441    | -2.1888         | -2.2654       |
| 0.5083        | 0.6179 | 300  | 0.5271          | -0.9857        | -1.7625          | 0.7422             | 0.7768          | -404.0363      | -320.9385    | -2.0319         | -2.1170       |
| 0.5073        | 0.8239 | 400  | 0.5199          | -1.0283        | -1.8048          | 0.75               | 0.7765          | -408.2682      | -325.1979    | -1.9835         | -2.0746       |


### Framework versions

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