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-llama2-deprecated
  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. -->

# dpo-llama2-deprecated

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: 0.5246
- Rewards/chosen: 0.5279
- Rewards/rejected: -0.0974
- Rewards/accuracies: 0.7939
- Rewards/margins: 0.6253
- Logps/rejected: -74.5910
- Logps/chosen: -63.2702
- Logits/rejected: -0.4513
- Logits/chosen: -0.4830

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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: 20
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6078        | 0.15  | 50   | 0.6238          | 0.5207         | 0.0974           | 0.6588             | 0.4233          | -72.6424       | -63.3416     | -0.4914         | -0.5620       |
| 0.5223        | 0.3   | 100  | 0.5246          | 0.5279         | -0.0974          | 0.7939             | 0.6253          | -74.5910       | -63.2702     | -0.4513         | -0.4830       |


### Framework versions

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