---
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. -->

# 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: 0.0069
- Rewards/chosen: -2.6575
- Rewards/rejected: -5.6311
- Rewards/accuracies: 0.6914
- Rewards/margins: 2.9735
- Logps/rejected: -820.4592
- Logps/chosen: -522.7909
- Logits/rejected: -2.4988
- Logits/chosen: -2.5238

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0071        | 0.21  | 100  | 0.0072          | -0.8922        | -1.6083          | 0.6523             | 0.7161          | -418.1843      | -346.2603    | -2.6342         | -2.6489       |
| 0.0068        | 0.42  | 200  | 0.0070          | -1.7394        | -3.1970          | 0.6680             | 1.4577          | -577.0542      | -430.9749    | -2.6058         | -2.6219       |
| 0.0069        | 0.63  | 300  | 0.0069          | -2.2358        | -4.6352          | 0.6992             | 2.3994          | -720.8748      | -480.6185    | -2.5115         | -2.5351       |
| 0.0067        | 0.84  | 400  | 0.0069          | -2.6575        | -5.6311          | 0.6914             | 2.9735          | -820.4592      | -522.7909    | -2.4988         | -2.5238       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1