---
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: 0.1592
- Rewards/chosen: 8.1420
- Rewards/rejected: -16.5137
- Rewards/accuracies: 0.9219
- Rewards/margins: 24.6558
- Logps/rejected: -126.2682
- Logps/chosen: -121.4882
- Logits/rejected: -1.8539
- Logits/chosen: -1.8512

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1483        | 0.21  | 100  | 0.1321          | 6.9750         | -14.0592         | 0.9336             | 21.0342         | -121.3591      | -123.8222    | -1.7705         | -1.7813       |
| 0.2084        | 0.42  | 200  | 0.1510          | 8.5839         | -14.8837         | 0.9375             | 23.4677         | -123.0082      | -120.6044    | -1.8622         | -1.8630       |
| 0.2072        | 0.63  | 300  | 0.1658          | 7.7715         | -16.5062         | 0.9219             | 24.2778         | -126.2532      | -122.2292    | -1.8451         | -1.8438       |
| 0.1918        | 0.84  | 400  | 0.1592          | 8.1420         | -16.5137         | 0.9219             | 24.6558         | -126.2682      | -121.4882    | -1.8539         | -1.8512       |


### Framework versions

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