---
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-SALT-HALF
  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-SALT-HALF

This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the dpo_mix_en and the bct_non_cot_dpo_500 datasets.
It achieves the following results on the evaluation set:
- Loss: 1.4967
- Rewards/chosen: -0.1424
- Rewards/rejected: -0.1512
- Rewards/accuracies: 0.5038
- Rewards/margins: 0.0088
- Logps/rejected: -1.5123
- Logps/chosen: -1.4238
- Logits/rejected: -14.4005
- Logits/chosen: -14.4333
- Sft Loss: 1.4238
- Odds Ratio Loss: 0.7294

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.5988        | 0.8467 | 500  | 1.5655          | -0.1492        | -0.1572          | 0.4962             | 0.0080          | -1.5724        | -1.4919      | -14.3530        | -14.3859      | 1.4919   | 0.7361          |
| 1.4213        | 1.6935 | 1000 | 1.5097          | -0.1437        | -0.1524          | 0.5038             | 0.0087          | -1.5240        | -1.4366      | -14.3997        | -14.4324      | 1.4366   | 0.7303          |
| 1.4234        | 2.5402 | 1500 | 1.4967          | -0.1424        | -0.1512          | 0.5038             | 0.0088          | -1.5123        | -1.4238      | -14.4005        | -14.4333      | 1.4238   | 0.7294          |


### Framework versions

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