---
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
  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

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: 0.4929
- Rewards/chosen: 21.1860
- Rewards/rejected: 6.2518
- Rewards/accuracies: 0.7344
- Rewards/margins: 14.9342
- Logps/rejected: -256.4154
- Logps/chosen: -241.4075
- Logits/rejected: -2.7091
- Logits/chosen: -2.7366

## 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: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5187        | 0.21  | 100  | 0.5296          | 19.0644        | 9.0310           | 0.7227             | 10.0334         | -253.6362      | -243.5290    | -2.7384         | -2.7638       |
| 0.508         | 0.42  | 200  | 0.5006          | 20.6504        | 7.0237           | 0.7266             | 13.6267         | -255.6435      | -241.9431    | -2.7569         | -2.7826       |
| 0.4808        | 0.63  | 300  | 0.4966          | 20.8183        | 6.9540           | 0.7227             | 13.8643         | -255.7132      | -241.7751    | -2.7115         | -2.7378       |
| 0.4835        | 0.84  | 400  | 0.4917          | 21.2230        | 6.3692           | 0.7344             | 14.8539         | -256.2980      | -241.3705    | -2.7037         | -2.7315       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2