---
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: 0.0675
- Rewards/chosen: -2.4788
- Rewards/rejected: -2.9505
- Rewards/accuracies: 0.6406
- Rewards/margins: 0.4717
- Logps/rejected: -552.4012
- Logps/chosen: -504.9170
- Logits/rejected: -2.1295
- Logits/chosen: -2.1638

## 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: 5
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.067         | 0.25  | 100  | 0.1174          | -1.4873        | -1.7314          | 0.6133             | 0.2442          | -430.4969      | -405.7653    | -2.3244         | -2.3408       |
| 0.0435        | 0.49  | 200  | 0.0799          | -2.1802        | -2.5492          | 0.6211             | 0.3690          | -512.2731      | -475.0585    | -2.1421         | -2.1734       |
| 0.0288        | 0.74  | 300  | 0.0710          | -2.4383        | -2.9105          | 0.6172             | 0.4722          | -548.4017      | -500.8697    | -2.1339         | -2.1675       |
| 0.032         | 0.99  | 400  | 0.0675          | -2.4788        | -2.9505          | 0.6406             | 0.4717          | -552.4012      | -504.9170    | -2.1295         | -2.1638       |


### Framework versions

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