---
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: 0.0632
- Rewards/chosen: -1.3406
- Rewards/rejected: -2.3147
- Rewards/accuracies: 0.7734
- Rewards/margins: 0.9740
- Logps/rejected: -488.8222
- Logps/chosen: -391.1042
- Logits/rejected: -2.0084
- Logits/chosen: -2.0472

## 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: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0717        | 0.21  | 100  | 0.0733          | -0.5920        | -1.1062          | 0.7266             | 0.5142          | -367.9753      | -316.2405    | -2.7130         | -2.7290       |
| 0.0672        | 0.42  | 200  | 0.0662          | -0.9311        | -1.7199          | 0.7422             | 0.7888          | -429.3445      | -350.1472    | -2.2044         | -2.2377       |
| 0.0648        | 0.63  | 300  | 0.0643          | -1.2563        | -2.1377          | 0.7734             | 0.8814          | -471.1217      | -382.6705    | -2.0727         | -2.1098       |
| 0.0636        | 0.84  | 400  | 0.0632          | -1.3406        | -2.3147          | 0.7734             | 0.9740          | -488.8222      | -391.1042    | -2.0084         | -2.0472       |


### Framework versions

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