---
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: 0.5107
- Rewards/chosen: -1.4645
- Rewards/rejected: -2.3555
- Rewards/accuracies: 0.7718
- Rewards/margins: 0.8911
- Logps/rejected: -491.4778
- Logps/chosen: -426.3907
- Logits/rejected: 1.4587
- Logits/chosen: 0.9514

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6339        | 0.1   | 100  | 0.6366          | -0.4251        | -0.6280          | 0.6766             | 0.2029          | -318.7289      | -322.4543    | -1.7266         | -1.8550       |
| 0.5801        | 0.21  | 200  | 0.5761          | -0.9339        | -1.4916          | 0.7242             | 0.5577          | -405.0862      | -373.3335    | -1.7791         | -1.8866       |
| 0.5298        | 0.31  | 300  | 0.5505          | -0.9519        | -1.6203          | 0.7401             | 0.6684          | -417.9537      | -375.1365    | -0.9729         | -1.1938       |
| 0.5055        | 0.42  | 400  | 0.5331          | -1.3809        | -2.1858          | 0.7540             | 0.8048          | -474.5050      | -418.0395    | 0.2901          | -0.0376       |
| 0.5243        | 0.52  | 500  | 0.5240          | -1.5398        | -2.3578          | 0.7718             | 0.8180          | -491.7054      | -433.9210    | 1.1167          | 0.7245        |
| 0.5024        | 0.63  | 600  | 0.5212          | -1.6677        | -2.5319          | 0.75               | 0.8643          | -509.1215      | -446.7127    | 1.3224          | 0.8469        |
| 0.4855        | 0.73  | 700  | 0.5156          | -1.5293        | -2.4112          | 0.7579             | 0.8819          | -497.0490      | -432.8780    | 1.5165          | 1.0177        |
| 0.5048        | 0.84  | 800  | 0.5121          | -1.4754        | -2.3714          | 0.7698             | 0.8960          | -493.0640      | -427.4831    | 1.3869          | 0.8797        |
| 0.5193        | 0.94  | 900  | 0.5109          | -1.4545        | -2.3434          | 0.7738             | 0.8889          | -490.2650      | -425.3930    | 1.4499          | 0.9411        |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0