---
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: 0.8003
- Rewards/chosen: -1.8897
- Rewards/rejected: -2.0004
- Rewards/accuracies: 0.5273
- Rewards/margins: 0.1107
- Logps/rejected: -718.4238
- Logps/chosen: -579.4417
- Logits/rejected: -5.6556
- Logits/chosen: -5.3947

## 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: 1e-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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3413        | 0.2558 | 100  | 0.7230          | -0.5409        | -0.5757          | 0.5156             | 0.0348          | -575.9554      | -444.5646    | -5.0451         | -4.8217       |
| 0.2653        | 0.5115 | 200  | 0.7765          | -1.4996        | -1.6149          | 0.5430             | 0.1153          | -679.8810      | -540.4390    | -5.5042         | -5.2262       |
| 0.2424        | 0.7673 | 300  | 0.8003          | -1.8897        | -2.0004          | 0.5273             | 0.1107          | -718.4238      | -579.4417    | -5.6556         | -5.3947       |


### Framework versions

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