---
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: 239.1993
- Rewards/chosen: 0.3530
- Rewards/rejected: 0.3216
- Rewards/accuracies: 0.5625
- Rewards/margins: 0.0314
- Logps/rejected: -225.1900
- Logps/chosen: -221.7349
- Logits/rejected: -2.6730
- Logits/chosen: -2.6975

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 256.7688      | 0.21  | 100  | 245.7276        | 0.2947         | 0.2688           | 0.5742             | 0.0259          | -230.4730      | -227.5649    | -2.7670         | -2.7863       |
| 239.4804      | 0.42  | 200  | 241.5078        | 0.3319         | 0.3036           | 0.5742             | 0.0283          | -226.9933      | -223.8462    | -2.7082         | -2.7290       |
| 240.5041      | 0.63  | 300  | 239.8053        | 0.3474         | 0.3163           | 0.5625             | 0.0310          | -225.7186      | -222.3044    | -2.6807         | -2.7042       |
| 236.8453      | 0.84  | 400  | 239.1993        | 0.3530         | 0.3216           | 0.5625             | 0.0314          | -225.1900      | -221.7349    | -2.6730         | -2.6975       |


### Framework versions

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