---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- alignment-handbook
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b
  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

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6152
- Rewards/chosen: -0.5055
- Rewards/rejected: -0.8740
- Rewards/accuracies: 0.3789
- Rewards/margins: 0.3685
- Logps/rejected: -164.5882
- Logps/chosen: -114.4584
- Logits/rejected: 1.5984
- Logits/chosen: 1.5070
- Use Label: 0.0
- Pred Label: 0.0

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- 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 | Use Label | Pred Label |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
| 0.6551        | 0.21  | 100  | 0.6526          | -0.2364        | -0.3728          | 0.3359             | 0.1364          | -114.4721      | -87.5525     | -1.7460         | -1.7620       | 0.0       | 0.0        |
| 0.6376        | 0.42  | 200  | 0.6289          | -0.3405        | -0.6072          | 0.3672             | 0.2667          | -137.9142      | -97.9614     | 0.0432          | -0.0238       | 0.0       | 0.0        |
| 0.6196        | 0.63  | 300  | 0.6189          | -0.3871        | -0.7293          | 0.375              | 0.3422          | -150.1250      | -102.6218    | 1.1831          | 1.0945        | 0.0       | 0.0        |
| 0.6139        | 0.84  | 400  | 0.6157          | -0.4865        | -0.8500          | 0.3711             | 0.3636          | -162.1976      | -112.5605    | 1.5453          | 1.4533        | 0.0       | 0.0        |


### Framework versions

- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2