---
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: 0.0984
- Rewards/chosen: -1.3191
- Rewards/rejected: -2.1712
- Rewards/accuracies: 0.7695
- Rewards/margins: 0.8521
- Logps/rejected: -474.4743
- Logps/chosen: -388.9529
- Logits/rejected: -2.3033
- Logits/chosen: -2.3263

## 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: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1368        | 0.21  | 100  | 0.1234          | -0.7206        | -1.1646          | 0.6953             | 0.4441          | -373.8169      | -329.0978    | -2.7113         | -2.7294       |
| 0.0936        | 0.42  | 200  | 0.1059          | -1.0413        | -1.7570          | 0.7422             | 0.7157          | -433.0510      | -361.1696    | -2.4844         | -2.4997       |
| 0.1045        | 0.63  | 300  | 0.1050          | -1.1721        | -1.9852          | 0.7734             | 0.8130          | -455.8698      | -374.2533    | -2.3263         | -2.3482       |
| 0.1007        | 0.84  | 400  | 0.0984          | -1.3191        | -2.1712          | 0.7695             | 0.8521          | -474.4743      | -388.9529    | -2.3033         | -2.3263       |


### Framework versions

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