---
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: 0.4801
- Rewards/chosen: -0.7670
- Rewards/rejected: -1.9120
- Rewards/accuracies: 0.7617
- Rewards/margins: 1.1450
- Logps/rejected: -508.7245
- Logps/chosen: -388.4799
- Logits/rejected: 0.7285
- Logits/chosen: 0.2273

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.539         | 0.21  | 100  | 0.5452          | -0.5988        | -1.3188          | 0.7422             | 0.7200          | -449.4053      | -371.6547    | -0.7240         | -0.8812       |
| 0.5294        | 0.42  | 200  | 0.5000          | -0.6654        | -1.5376          | 0.7617             | 0.8722          | -471.2849      | -378.3161    | 0.8080          | 0.4502        |
| 0.4704        | 0.63  | 300  | 0.4878          | -0.8441        | -1.9900          | 0.7539             | 1.1459          | -516.5240      | -396.1895    | 0.8998          | 0.3977        |
| 0.4856        | 0.84  | 400  | 0.4801          | -0.7670        | -1.9120          | 0.7617             | 1.1450          | -508.7245      | -388.4799    | 0.7285          | 0.2273        |


### Framework versions

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