---
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: 0.0945
- Rewards/chosen: -1.3600
- Rewards/rejected: -2.1836
- Rewards/accuracies: 0.7656
- Rewards/margins: 0.8237
- Logps/rejected: -475.7151
- Logps/chosen: -393.0347
- Logits/rejected: -2.3019
- Logits/chosen: -2.3254

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1643        | 0.21  | 100  | 0.1558          | -0.4076        | -0.7972          | 0.7461             | 0.3896          | -337.0709      | -297.7996    | -2.7691         | -2.7902       |
| 0.1003        | 0.42  | 200  | 0.0997          | -1.2712        | -1.9340          | 0.7031             | 0.6629          | -450.7552      | -384.1553    | -2.5137         | -2.5340       |
| 0.0953        | 0.63  | 300  | 0.1024          | -1.2036        | -1.9243          | 0.7539             | 0.7207          | -449.7823      | -377.3981    | -2.3837         | -2.4030       |
| 0.0811        | 0.84  | 400  | 0.0945          | -1.3600        | -2.1836          | 0.7656             | 0.8237          | -475.7151      | -393.0347    | -2.3019         | -2.3254       |


### Framework versions

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