---
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- David-Xu/astronomy-stack-dpo-20-percent
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: cira-7b-dpo-lora-merge
  results: []
license: mit
---

<!-- 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. -->

# cira-7b-dpo-lora-merge

This model is a fine-tuned version of [David-Xu/llama-2-7b-cira-sft-v0.1-merge](https://huggingface.co/David-Xu/llama-2-7b-cira-sft-v0.1-merge) on the David-Xu/astronomy-stack-dpo-20-percent dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6183
- Rewards/chosen: 0.5535
- Rewards/rejected: 0.3385
- Rewards/accuracies: 0.6784
- Rewards/margins: 0.2150
- Logps/rejected: -652.2422
- Logps/chosen: -795.1126
- Logits/rejected: -1.1812
- Logits/chosen: -1.0305

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.6618        | 0.11  | 100  | -0.8082       | -1.0029         | -823.6102    | -665.3923      | 0.6664          | 0.6432             | 0.2685         | 0.0615          | 0.2070           |
| 0.6079        | 0.22  | 200  | -1.0530       | -1.2188         | -794.3279    | -642.6389      | 0.6463          | 0.6508             | 0.5613         | 0.1268          | 0.4345           |
| 0.6029        | 0.33  | 300  | -1.0367       | -1.1965         | -793.2078    | -644.8513      | 0.6360          | 0.6558             | 0.5725         | 0.1601          | 0.4124           |
| 0.6123        | 0.45  | 400  | -1.1220       | -1.2658         | -787.7750    | -641.9633      | 0.6291          | 0.6608             | 0.6269         | 0.1856          | 0.4413           |
| 0.5596        | 0.56  | 500  | -1.0852       | -1.2330         | -790.7928    | -646.7930      | 0.6230          | 0.6683             | 0.5967         | 0.2037          | 0.3930           |
| 0.5382        | 0.67  | 600  | -1.0547       | -1.2034         | -793.2486    | -650.0926      | 0.6199          | 0.6709             | 0.5721         | 0.2121          | 0.3600           |
| 0.5952        | 0.78  | 700  | -1.0324       | -1.1827         | -794.9604    | -652.0420      | 0.6186          | 0.6784             | 0.5550         | 0.2145          | 0.3405           |
| 0.5792        | 0.89  | 800  | -1.0308       | -1.1812         | -795.125     | -652.2705      | 0.6182          | 0.6784             | 0.5534         | 0.2151          | 0.3382           |


### Framework versions

- PEFT 0.9.0
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2