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---
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 |