---
license: apache-2.0
library_name: peft
tags:
- llama-factory
- lora
- trl
- dpo
- generated_from_trainer
base_model: tiiuae/falcon-7b-instruct
model-index:
- name: Falcon-7B-Instruct-ORPO
  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. -->

# Falcon-7B-Instruct-ORPO

This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the dpo_mix_en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5155
- Rewards/chosen: -0.1444
- Rewards/rejected: -0.1539
- Rewards/accuracies: 0.5090
- Rewards/margins: 0.0095
- Logps/rejected: -1.5389
- Logps/chosen: -1.4440
- Logits/rejected: -14.5432
- Logits/chosen: -14.4665
- Sft Loss: 1.4440
- Odds Ratio Loss: 0.7143

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.6309        | 0.8891 | 500  | 1.5816          | -0.1510        | -0.1599          | 0.4940             | 0.0089          | -1.5988        | -1.5096      | -14.4968        | -14.4213      | 1.5096   | 0.7192          |
| 1.5401        | 1.7782 | 1000 | 1.5269          | -0.1455        | -0.1549          | 0.5020             | 0.0094          | -1.5492        | -1.4555      | -14.5486        | -14.4721      | 1.4555   | 0.7147          |
| 1.4914        | 2.6673 | 1500 | 1.5155          | -0.1444        | -0.1539          | 0.5090             | 0.0095          | -1.5389        | -1.4440      | -14.5432        | -14.4665      | 1.4440   | 0.7143          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1