---
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: 0.7111
- Rewards/chosen: -0.8296
- Rewards/rejected: -0.9542
- Rewards/accuracies: 0.5625
- Rewards/margins: 0.1246
- Logps/rejected: -613.8080
- Logps/chosen: -473.4393
- Logits/rejected: -5.2824
- Logits/chosen: -5.0285

## 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-08
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5044        | 0.2558 | 100  | 0.7105          | -0.1129        | -0.0877          | 0.4727             | -0.0252         | -527.1570      | -401.7669    | -4.8307         | -4.6554       |
| 0.3343        | 0.5115 | 200  | 0.6982          | -0.5200        | -0.6117          | 0.5586             | 0.0918          | -579.5609      | -442.4707    | -5.1101         | -4.8657       |
| 0.2972        | 0.7673 | 300  | 0.7111          | -0.8296        | -0.9542          | 0.5625             | 0.1246          | -613.8080      | -473.4393    | -5.2824         | -5.0285       |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1