---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-prometheus-high-bleu-3-epochs
  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-prometheus-high-bleu-3-epochs

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7540
- Rewards/chosen: -3.8924
- Rewards/rejected: -4.8360
- Rewards/accuracies: 0.6810
- Rewards/margins: 0.9436
- Logps/rejected: -731.8801
- Logps/chosen: -649.2000
- Logits/rejected: 1.8046
- Logits/chosen: 1.3830

## 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6701        | 0.3802 | 50   | 0.6608          | -0.0605        | -0.1235          | 0.6379             | 0.0630          | -260.6238      | -266.0125    | -2.5430         | -2.5790       |
| 0.6369        | 0.7605 | 100  | 0.6256          | -0.4573        | -0.6699          | 0.6379             | 0.2125          | -315.2623      | -305.6931    | -2.2506         | -2.3145       |
| 0.4762        | 1.1407 | 150  | 0.6095          | -1.0277        | -1.3947          | 0.6638             | 0.3669          | -387.7436      | -362.7340    | -2.0713         | -2.1464       |
| 0.4416        | 1.5209 | 200  | 0.6303          | -1.5256        | -2.0301          | 0.6897             | 0.5044          | -451.2823      | -412.5244    | -1.8055         | -1.8831       |
| 0.4058        | 1.9011 | 250  | 0.6470          | -2.1413        | -2.7297          | 0.6724             | 0.5884          | -521.2467      | -474.0945    | -0.8046         | -0.9765       |
| 0.2288        | 2.2814 | 300  | 0.7265          | -3.4237        | -4.3014          | 0.6724             | 0.8777          | -678.4208      | -602.3348    | 1.1516          | 0.7332        |
| 0.21          | 2.6616 | 350  | 0.7540          | -3.8924        | -4.8360          | 0.6810             | 0.9436          | -731.8801      | -649.2000    | 1.8046          | 1.3830        |


### Framework versions

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