---
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: 1.3377
- Rewards/chosen: -14.5626
- Rewards/rejected: -18.1281
- Rewards/accuracies: 0.6389
- Rewards/margins: 3.5654
- Logps/rejected: -2073.0146
- Logps/chosen: -1738.2311
- Logits/rejected: -0.6819
- Logits/chosen: -1.0035

## 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: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 4.5854        | 0.1047 | 100  | 4.3811          | -0.2719        | -0.4992          | 0.6488             | 0.2273          | -310.1242      | -309.1552    | -2.1923         | -2.2813       |
| 2.6464        | 0.2093 | 200  | 2.6063          | -9.6247        | -11.6315         | 0.625              | 2.0068          | -1423.3580     | -1244.4360   | 0.6982          | -0.3562       |
| 1.9069        | 0.3140 | 300  | 2.2624          | -9.8468        | -11.9256         | 0.6329             | 2.0788          | -1452.7675     | -1266.6490   | 1.5569          | 0.4590        |
| 1.6642        | 0.4186 | 400  | 1.6421          | -14.4918       | -17.8494         | 0.625              | 3.3576          | -2045.1493     | -1731.1526   | -0.0875         | -0.7751       |
| 1.6328        | 0.5233 | 500  | 1.5120          | -13.0737       | -16.3036         | 0.6389             | 3.2299          | -1890.5623     | -1589.3370   | -0.0918         | -0.6590       |
| 1.6032        | 0.6279 | 600  | 1.4752          | -17.3374       | -21.4238         | 0.6230             | 4.0864          | -2402.5845     | -2015.7072   | 0.6402          | 0.0190        |
| 1.5039        | 0.7326 | 700  | 1.3853          | -14.1299       | -17.5624         | 0.6528             | 3.4325          | -2016.4491     | -1694.9624   | -0.4968         | -0.8898       |
| 1.3527        | 0.8373 | 800  | 1.3663          | -13.9016       | -17.2583         | 0.6448             | 3.3567          | -1986.0359     | -1672.1306   | -0.6750         | -1.0375       |
| 1.5137        | 0.9419 | 900  | 1.3374          | -14.5395       | -18.1313         | 0.6409             | 3.5918          | -2073.3389     | -1735.9152   | -0.6740         | -1.0018       |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1