---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- 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: 0.6171
- Rewards/chosen: -0.4648
- Rewards/rejected: -0.8388
- Rewards/accuracies: 0.3711
- Rewards/margins: 0.3740
- Logps/rejected: -161.0705
- Logps/chosen: -110.3948
- Logits/rejected: 1.0411
- Logits/chosen: 0.9868
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
| 0.6553        | 0.21  | 100  | 0.6557          | -0.1267        | -0.2685          | 0.3633             | 0.1419          | -104.0477      | -76.5787     | -2.0726         | -2.0833       | 0.0       | 0.0        |
| 0.6446        | 0.42  | 200  | 0.6343          | -0.2873        | -0.5376          | 0.3828             | 0.2503          | -130.9503      | -92.6377     | -0.6864         | -0.7124       | 0.0       | 0.0        |
| 0.6273        | 0.63  | 300  | 0.6204          | -0.4623        | -0.7994          | 0.3672             | 0.3371          | -157.1332      | -110.1469    | 0.6726          | 0.6280        | 0.0       | 0.0        |
| 0.6165        | 0.84  | 400  | 0.6182          | -0.4457        | -0.8122          | 0.3672             | 0.3666          | -158.4149      | -108.4784    | 0.9580          | 0.9035        | 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