peft safetensors trl dpo generated_from_trainer base_model:meta-llama/Llama-2-7b-chat-hf region:us
---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: dpo-test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dpo-test

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0060
- Rewards/chosen: -2.4578
- Rewards/rejected: -10.0480
- Rewards/accuracies: 1.0
- Rewards/margins: 7.5902
- Logps/rejected: -189.0133
- Logps/chosen: -107.4476
- Logits/rejected: -0.6723
- Logits/chosen: -0.6997

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- 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: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.139         | 2.29  | 500  | 0.1416          | -1.3038        | -4.9329          | 0.9464             | 3.6291          | -137.8629      | -95.9085     | -0.7743         | -0.7799       |
| 0.0292        | 4.58  | 1000 | 0.0326          | -2.0104        | -7.6961          | 0.9974             | 5.6857          | -165.4948      | -102.9742    | -0.6749         | -0.6925       |
| 0.0118        | 6.87  | 1500 | 0.0129          | -2.2528        | -9.2582          | 1.0                | 7.0055          | -181.1160      | -105.3981    | -0.6526         | -0.6741       |
| 0.0056        | 9.17  | 2000 | 0.0060          | -2.4578        | -10.0480         | 1.0                | 7.5902          | -189.0133      | -107.4476    | -0.6723         | -0.6997       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0