---
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-margin-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-margin-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: 0.5829
- Rewards/chosen: -2.8437
- Rewards/rejected: -4.4971
- Rewards/accuracies: 0.7629
- Rewards/margins: 1.6534
- Logps/rejected: -697.9909
- Logps/chosen: -544.3318
- Logits/rejected: 4.2569
- Logits/chosen: 2.5320

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5554        | 0.3802 | 50   | 0.6140          | -0.1671        | -0.4180          | 0.6897             | 0.2509          | -290.0737      | -276.6687    | -2.5786         | -2.6244       |
| 0.3147        | 0.7605 | 100  | 0.5617          | -1.1542        | -2.1116          | 0.7328             | 0.9574          | -459.4361      | -375.3786    | 1.5949          | 0.7404        |
| 0.214         | 1.1407 | 150  | 0.5560          | -1.2961        | -2.4277          | 0.7457             | 1.1316          | -491.0475      | -389.5718    | 2.0487          | 0.8077        |
| 0.1866        | 1.5209 | 200  | 0.5364          | -1.4494        | -2.6242          | 0.7414             | 1.1748          | -510.6940      | -404.8973    | 2.0297          | 0.7929        |
| 0.1899        | 1.9011 | 250  | 0.5391          | -1.7883        | -3.0786          | 0.7457             | 1.2902          | -556.1323      | -438.7930    | 2.5714          | 1.2524        |
| 0.1083        | 2.2814 | 300  | 0.5584          | -2.1009        | -3.5313          | 0.7629             | 1.4304          | -601.4120      | -470.0527    | 3.6920          | 2.2903        |
| 0.0955        | 2.6616 | 350  | 0.5829          | -2.8437        | -4.4971          | 0.7629             | 1.6534          | -697.9909      | -544.3318    | 4.2569          | 2.5320        |


### Framework versions

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