---
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: 0.5327
- Rewards/chosen: -1.3058
- Rewards/rejected: -2.0790
- Rewards/accuracies: 0.7695
- Rewards/margins: 0.7731
- Logps/rejected: -465.2492
- Logps/chosen: -387.6228
- Logits/rejected: -2.0418
- Logits/chosen: -2.0914

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.645         | 0.21  | 100  | 0.6138          | -0.3445        | -0.6635          | 0.7109             | 0.3190          | -323.7003      | -291.4871    | -2.5877         | -2.6051       |
| 0.6088        | 0.42  | 200  | 0.5601          | -1.2478        | -1.8506          | 0.7383             | 0.6028          | -442.4111      | -381.8215    | -2.2506         | -2.2970       |
| 0.5713        | 0.63  | 300  | 0.5404          | -1.1777        | -1.9907          | 0.7656             | 0.8130          | -456.4196      | -374.8101    | -2.1131         | -2.1610       |
| 0.585         | 0.84  | 400  | 0.5327          | -1.3058        | -2.0790          | 0.7695             | 0.7731          | -465.2492      | -387.6228    | -2.0418         | -2.0914       |


### Framework versions

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