---
tags:
- trl
- dpo
- generated_from_trainer
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 was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8979
- Rewards/chosen: -6.9869
- Rewards/rejected: -8.4701
- Rewards/accuracies: 0.6094
- Rewards/margins: 1.4832
- Logps/rejected: -1164.5387
- Logps/chosen: -1010.4669
- Logits/rejected: -0.5643
- Logits/chosen: -0.7199

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2555        | 0.1   | 100  | 1.4172          | -4.8884        | -5.6701          | 0.5898             | 0.7817          | -884.5335      | -800.6121    | -1.3358         | -1.3942       |
| 0.1854        | 0.21  | 200  | 1.6754          | -6.1508        | -7.3259          | 0.6211             | 1.1752          | -1050.1200     | -926.8517    | -1.1088         | -1.1853       |
| 0.1799        | 0.31  | 300  | 1.5590          | -5.9157        | -6.9794          | 0.5977             | 1.0637          | -1015.4615     | -903.3419    | -1.0193         | -1.1110       |
| 0.1679        | 0.42  | 400  | 2.1030          | -7.8503        | -9.2060          | 0.6094             | 1.3557          | -1238.1252     | -1096.8108   | -0.5753         | -0.7096       |
| 0.1693        | 0.52  | 500  | 1.6563          | -6.3408        | -7.6718          | 0.625              | 1.3310          | -1084.7078     | -945.8611    | -0.8598         | -0.9873       |
| 0.1609        | 0.63  | 600  | 1.6818          | -6.4795        | -7.7992          | 0.6211             | 1.3198          | -1097.4480     | -959.7227    | -0.4515         | -0.6164       |
| 0.1559        | 0.73  | 700  | 1.9278          | -7.3485        | -8.7955          | 0.6133             | 1.4470          | -1197.0731     | -1046.6217   | -0.4166         | -0.5852       |
| 0.1433        | 0.84  | 800  | 1.9050          | -7.1496        | -8.6252          | 0.6172             | 1.4756          | -1180.0403     | -1026.7318   | -0.5141         | -0.6745       |
| 0.1479        | 0.94  | 900  | 1.8979          | -6.9869        | -8.4701          | 0.6094             | 1.4832          | -1164.5387     | -1010.4669   | -0.5643         | -0.7199       |


### Framework versions

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