---
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: 0.2027
- Rewards/chosen: 0.6729
- Rewards/rejected: -2.3580
- Rewards/accuracies: 0.9141
- Rewards/margins: 3.0309
- Logps/rejected: -380.2658
- Logps/chosen: -322.0539
- Logits/rejected: -1.9204
- Logits/chosen: -1.9591

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4898        | 0.12  | 100  | 0.5505          | -0.1967        | -1.0051          | 0.6875             | 0.8085          | -353.2088      | -339.4445    | -1.7659         | -1.8469       |
| 0.4277        | 0.23  | 200  | 0.4655          | -0.4834        | -1.8836          | 0.7383             | 1.4002          | -370.7788      | -345.1795    | -1.7248         | -1.8009       |
| 0.4188        | 0.35  | 300  | 0.3922          | -0.0720        | -2.0263          | 0.7969             | 1.9544          | -373.6328      | -336.9513    | -1.6143         | -1.6899       |
| 0.3506        | 0.46  | 400  | 0.3457          | 0.2171         | -2.0472          | 0.8203             | 2.2643          | -374.0495      | -331.1692    | -1.9794         | -2.0296       |
| 0.3611        | 0.58  | 500  | 0.2959          | 0.2498         | -2.4347          | 0.8516             | 2.6844          | -381.7997      | -330.5164    | -1.8183         | -1.8592       |
| 0.3562        | 0.69  | 600  | 0.2513          | 0.3868         | -2.4732          | 0.8711             | 2.8600          | -382.5696      | -327.7753    | -1.9217         | -1.9736       |
| 0.3624        | 0.81  | 700  | 0.2194          | 0.6454         | -2.3556          | 0.9062             | 3.0010          | -380.2178      | -322.6031    | -1.9301         | -1.9717       |
| 0.4069        | 0.92  | 800  | 0.2027          | 0.6729         | -2.3580          | 0.9141             | 3.0309          | -380.2658      | -322.0539    | -1.9204         | -1.9591       |


### Framework versions

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