---
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: 0.0270
- Rewards/chosen: -1.1958
- Rewards/rejected: -1.8757
- Rewards/accuracies: 0.7266
- Rewards/margins: 0.6799
- Logps/rejected: -444.9223
- Logps/chosen: -376.6192
- Logits/rejected: -2.4111
- Logits/chosen: -2.4251

## 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: 5
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0517        | 0.21  | 100  | 0.0427          | -0.6331        | -1.0207          | 0.7031             | 0.3876          | -359.4206      | -320.3455    | -2.7320         | -2.7523       |
| 0.0305        | 0.42  | 200  | 0.0297          | -1.0902        | -1.6743          | 0.7227             | 0.5842          | -424.7881      | -366.0565    | -2.5649         | -2.5797       |
| 0.0258        | 0.63  | 300  | 0.0274          | -1.2031        | -1.8719          | 0.7188             | 0.6688          | -444.5428      | -377.3524    | -2.4247         | -2.4384       |
| 0.0234        | 0.84  | 400  | 0.0270          | -1.1958        | -1.8757          | 0.7266             | 0.6799          | -444.9223      | -376.6192    | -2.4111         | -2.4251       |


### Framework versions

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