---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-dpo-full-ultrabin-reward-scale-05
  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-ultrabin-reward-scale-05

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5419
- Rewards/chosen: -2.0652
- Rewards/rejected: -3.5533
- Rewards/accuracies: 0.7812
- Rewards/margins: 1.4880
- Logps/rejected: -617.9895
- Logps/chosen: -469.1545
- Logits/rejected: 3.0313
- Logits/chosen: 2.1931

## 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: 55
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6746        | 0.1046 | 50   | 0.6514          | 0.0215         | -0.0844          | 0.6953             | 0.1059          | -271.1068      | -260.4849    | -2.5751         | -2.6121       |
| 0.5801        | 0.2092 | 100  | 0.5963          | -1.2413        | -2.0024          | 0.6914             | 0.7611          | -462.9021      | -386.7607    | 0.8478          | 0.5614        |
| 0.561         | 0.3138 | 150  | 0.5612          | -1.3516        | -2.3053          | 0.7422             | 0.9537          | -493.1910      | -397.7852    | 2.1227          | 1.6750        |
| 0.552         | 0.4184 | 200  | 0.5634          | -1.7910        | -3.0147          | 0.7539             | 1.2237          | -564.1274      | -441.7259    | 2.6771          | 2.0183        |
| 0.5367        | 0.5230 | 250  | 0.5404          | -1.6069        | -2.8715          | 0.7656             | 1.2646          | -549.8127      | -423.3247    | 2.8098          | 2.1736        |
| 0.5231        | 0.6276 | 300  | 0.5511          | -1.8243        | -3.2523          | 0.7656             | 1.4280          | -587.8877      | -445.0558    | 2.9864          | 2.2075        |
| 0.5092        | 0.7322 | 350  | 0.5402          | -1.9840        | -3.4024          | 0.7734             | 1.4184          | -602.9061      | -461.0307    | 2.8834          | 2.0946        |
| 0.5231        | 0.8368 | 400  | 0.5417          | -2.0950        | -3.5645          | 0.7812             | 1.4695          | -619.1116      | -472.1271    | 3.0542          | 2.2365        |
| 0.5232        | 0.9414 | 450  | 0.5419          | -2.0657        | -3.5528          | 0.7812             | 1.4871          | -617.9430      | -469.2008    | 3.0322          | 2.1926        |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1