---
library_name: transformers
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5225
- Rewards/chosen: -0.5814
- Rewards/rejected: -1.3885
- Rewards/accuracies: 0.7773
- Rewards/margins: 0.8071
- Logps/rejected: -403.6498
- Logps/chosen: -323.4799
- Logits/rejected: 1.6879
- Logits/chosen: 1.2050

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5999        | 0.2092 | 100  | 0.5966          | -0.3739        | -0.7450          | 0.7109             | 0.3711          | -339.3055      | -302.7284    | -1.6763         | -1.7949       |
| 0.5606        | 0.4184 | 200  | 0.5555          | -0.6215        | -1.2285          | 0.7461             | 0.6069          | -387.6506      | -327.4932    | 1.5409          | 1.1102        |
| 0.5211        | 0.6276 | 300  | 0.5284          | -0.6372        | -1.3932          | 0.7617             | 0.7559          | -404.1211      | -329.0649    | 1.2079          | 0.7847        |
| 0.5189        | 0.8368 | 400  | 0.5225          | -0.5814        | -1.3885          | 0.7773             | 0.8071          | -403.6498      | -323.4799    | 1.6879          | 1.2050        |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.1.0
- Datasets 3.0.1
- Tokenizers 0.20.1