---
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: 0.0544
- Rewards/chosen: -2.1973
- Rewards/rejected: -2.9243
- Rewards/accuracies: 0.7070
- Rewards/margins: 0.7270
- Logps/rejected: -549.7877
- Logps/chosen: -476.7722
- Logits/rejected: -1.9407
- Logits/chosen: -1.9849

## 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: 3
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0846        | 0.23  | 100  | 0.0846          | -1.4642        | -1.8940          | 0.6484             | 0.4298          | -446.7535      | -403.4620    | -2.3302         | -2.3522       |
| 0.0477        | 0.45  | 200  | 0.0672          | -1.7958        | -2.4017          | 0.7148             | 0.6059          | -497.5217      | -436.6205    | -2.1284         | -2.1617       |
| 0.046         | 0.68  | 300  | 0.0552          | -2.1484        | -2.8722          | 0.7148             | 0.7238          | -544.5698      | -471.8781    | -1.9484         | -1.9914       |
| 0.0439        | 0.91  | 400  | 0.0544          | -2.1973        | -2.9243          | 0.7070             | 0.7270          | -549.7877      | -476.7722    | -1.9407         | -1.9849       |


### Framework versions

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