---
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: 0.4405
- Rewards/chosen: -3.0809
- Rewards/rejected: -4.8915
- Rewards/accuracies: 0.3438
- Rewards/margins: 1.8106
- Logps/rejected: -566.3419
- Logps/chosen: -371.9976
- Logits/rejected: 4.5207
- Logits/chosen: 4.3874
- Use Label: 5649.7188
- Pred Label: 1650.2812

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
| 0.6535        | 0.21  | 100  | 0.6432          | -0.2049        | -0.3593          | 0.3516             | 0.1544          | -113.1259      | -84.4063     | -2.0537         | -2.0656       | 1713.5    | 18.5       |
| 0.507         | 0.42  | 200  | 0.5048          | -1.6723        | -2.3466          | 0.3594             | 0.6743          | -311.8494      | -231.1388    | 2.1626          | 2.0915        | 3214.5625 | 373.4375   |
| 0.4799        | 0.63  | 300  | 0.4885          | -1.7906        | -2.6624          | 0.3359             | 0.8718          | -343.4285      | -242.9698    | 3.2225          | 3.1511        | 4474.75   | 969.25     |
| 0.4443        | 0.84  | 400  | 0.4405          | -3.0809        | -4.8915          | 0.3438             | 1.8106          | -566.3419      | -371.9976    | 4.5207          | 4.3874        | 5649.7188 | 1650.2812  |


### Framework versions

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