---
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: 0.0680
- Rewards/chosen: -1.6802
- Rewards/rejected: -2.4505
- Rewards/accuracies: 0.7109
- Rewards/margins: 0.7703
- Logps/rejected: -502.4064
- Logps/chosen: -425.0607
- Logits/rejected: -2.2693
- Logits/chosen: -2.2870

## 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: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1201        | 0.21  | 100  | 0.1358          | -0.5060        | -0.9026          | 0.6992             | 0.3966          | -347.6168      | -307.6421    | -2.7272         | -2.7404       |
| 0.0885        | 0.42  | 200  | 0.0939          | -0.9340        | -1.6072          | 0.7383             | 0.6732          | -418.0752      | -350.4443    | -2.5184         | -2.5309       |
| 0.0652        | 0.63  | 300  | 0.0711          | -1.5440        | -2.2912          | 0.7266             | 0.7471          | -486.4697      | -411.4413    | -2.3324         | -2.3504       |
| 0.0725        | 0.84  | 400  | 0.0680          | -1.6802        | -2.4505          | 0.7109             | 0.7703          | -502.4064      | -425.0607    | -2.2693         | -2.2870       |


### Framework versions

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