---
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-gpt_consistent-reward-scale-1-rpo-gamma-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-gpt_consistent-reward-scale-1-rpo-gamma-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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0087
- Rewards/chosen: -0.0012
- Rewards/rejected: -0.1544
- Rewards/accuracies: 0.7672
- Rewards/margins: 0.1532
- Logps/rejected: -261.9635
- Logps/chosen: -285.2108
- Logits/rejected: -2.3836
- Logits/chosen: -2.4800

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.012         | 0.1147 | 50   | 0.0113          | 0.0778         | -0.0076          | 0.7026             | 0.0854          | -247.2809      | -277.3098    | -2.5021         | -2.5787       |
| 0.011         | 0.2294 | 100  | 0.0100          | 0.0419         | -0.0781          | 0.7069             | 0.1200          | -254.3327      | -280.9024    | -2.3370         | -2.4392       |
| 0.0104        | 0.3440 | 150  | 0.0098          | -0.0076        | -0.1403          | 0.7198             | 0.1326          | -260.5493      | -285.8531    | -2.3956         | -2.4944       |
| 0.0096        | 0.4587 | 200  | 0.0093          | 0.0289         | -0.1110          | 0.7931             | 0.1399          | -257.6194      | -282.1954    | -2.4209         | -2.5140       |
| 0.0094        | 0.5734 | 250  | 0.0089          | -0.0113        | -0.1675          | 0.7802             | 0.1562          | -263.2694      | -286.2172    | -2.3630         | -2.4591       |
| 0.0096        | 0.6881 | 300  | 0.0088          | -0.0133        | -0.1638          | 0.7845             | 0.1505          | -262.9025      | -286.4156    | -2.3821         | -2.4772       |
| 0.0096        | 0.8028 | 350  | 0.0087          | -0.0056        | -0.1617          | 0.7802             | 0.1561          | -262.6906      | -285.6459    | -2.3851         | -2.4814       |
| 0.0093        | 0.9174 | 400  | 0.0087          | -0.0012        | -0.1544          | 0.7672             | 0.1532          | -261.9635      | -285.2108    | -2.3836         | -2.4800       |


### Framework versions

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