---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5769
- Rewards/chosen: -0.6646
- Rewards/rejected: -1.1353
- Rewards/accuracies: 0.3711
- Rewards/margins: 0.4707
- Logps/rejected: -190.7267
- Logps/chosen: -130.3719
- Logits/rejected: 1.8500
- Logits/chosen: 1.7576
- Use Label: 6517.1875
- Pred Label: 782.8125

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
| 0.6531        | 0.21  | 100  | 0.6528          | -0.1643        | -0.2945          | 0.3633             | 0.1303          | -106.6470      | -80.3385     | -1.7198         | -1.7354       | 1725.3125 | 6.6875     |
| 0.6041        | 0.42  | 200  | 0.5936          | -0.7144        | -1.1047          | 0.3516             | 0.3903          | -187.6596      | -135.3474    | 0.9784          | 0.8864        | 3420.5938 | 167.4062   |
| 0.5763        | 0.63  | 300  | 0.5773          | -0.7930        | -1.2317          | 0.3516             | 0.4387          | -200.3615      | -143.2137    | 1.7526          | 1.6599        | 4991.2812 | 452.7188   |
| 0.5836        | 0.84  | 400  | 0.5769          | -0.6646        | -1.1353          | 0.3711             | 0.4707          | -190.7267      | -130.3719    | 1.8500          | 1.7576        | 6517.1875 | 782.8125   |


### Framework versions

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