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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-SALT
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
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_1000 datasets.
It achieves the following results on the evaluation set:
- Loss: 1.4485
- Rewards/chosen: -0.1373
- Rewards/rejected: -0.1429
- Rewards/accuracies: 0.4809
- Rewards/margins: 0.0056
- Logps/rejected: -1.4290
- Logps/chosen: -1.3726
- Logits/rejected: -14.3178
- Logits/chosen: -14.2778
- Sft Loss: 1.3726
- Odds Ratio Loss: 0.7590
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 1.5005 | 0.8082 | 500 | 1.5202 | -0.1444 | -0.1490 | 0.4818 | 0.0046 | -1.4898 | -1.4436 | -14.2657 | -14.2276 | 1.4436 | 0.7658 |
| 1.3401 | 1.6165 | 1000 | 1.4635 | -0.1387 | -0.1442 | 0.4836 | 0.0055 | -1.4423 | -1.3875 | -14.3083 | -14.2685 | 1.3875 | 0.7603 |
| 1.446 | 2.4247 | 1500 | 1.4485 | -0.1373 | -0.1429 | 0.4809 | 0.0056 | -1.4290 | -1.3726 | -14.3178 | -14.2778 | 1.3726 | 0.7590 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1 |