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

# results

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0483
- Rewards/chosen: 0.8443
- Rewards/rejected: -4.9894
- Rewards/accuracies: 0.9864
- Rewards/margins: 5.8337
- Logps/rejected: -163.0178
- Logps/chosen: -85.8088
- Logits/rejected: -1.0144
- Logits/chosen: -0.8703

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5635        | 0.24  | 100  | 0.5460          | 0.2168         | -0.4663          | 0.7367             | 0.6831          | -117.7869      | -92.0844     | -1.3150         | -1.2411       |
| 0.3836        | 0.47  | 200  | 0.3582          | 0.1507         | -1.4599          | 0.8494             | 1.6106          | -127.7231      | -92.7453     | -0.6842         | -0.5917       |
| 0.2525        | 0.71  | 300  | 0.2509          | 0.6325         | -1.7217          | 0.9095             | 2.3542          | -130.3404      | -87.9269     | -0.7855         | -0.6860       |
| 0.1625        | 0.94  | 400  | 0.1711          | 0.6613         | -2.8054          | 0.9357             | 3.4667          | -141.1781      | -87.6390     | -0.7853         | -0.6836       |
| 0.0695        | 1.18  | 500  | 0.1215          | 0.6443         | -3.7903          | 0.9589             | 4.4347          | -151.0267      | -87.8085     | -0.8915         | -0.7635       |
| 0.0448        | 1.42  | 600  | 0.0905          | 1.0284         | -4.1415          | 0.9698             | 5.1699          | -154.5387      | -83.9677     | -0.9632         | -0.8182       |
| 0.0515        | 1.65  | 700  | 0.0760          | 1.1233         | -3.6423          | 0.9758             | 4.7656          | -149.5469      | -83.0189     | -0.9748         | -0.8504       |
| 0.0396        | 1.89  | 800  | 0.0542          | 0.7363         | -4.9101          | 0.9864             | 5.6464          | -162.2247      | -86.8886     | -1.0377         | -0.8963       |
| 0.0099        | 2.13  | 900  | 0.0486          | 0.8344         | -4.9605          | 0.9864             | 5.7949          | -162.7287      | -85.9078     | -1.0199         | -0.8760       |
| 0.0107        | 2.36  | 1000 | 0.0483          | 0.8443         | -4.9894          | 0.9864             | 5.8337          | -163.0178      | -85.8088     | -1.0144         | -0.8703       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0