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---
base_model: meta-llama/Llama-3.2-1B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: llama3.2-1B-dpo-v1
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. -->
# llama3.2-1B-dpo-v1
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co./meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5037
- Rewards/chosen: -1.5976
- Rewards/rejected: -4.4612
- Rewards/accuracies: 0.7913
- Rewards/margins: 2.8637
- Logps/rejected: -449.0548
- Logps/chosen: -492.4157
- Logits/rejected: -0.4987
- Logits/chosen: -0.2456
## 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-05
- train_batch_size: 6
- eval_batch_size: 4
- seed: 42
- 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 | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5478 | 0.0763 | 700 | 0.5414 | -0.1038 | -1.2895 | 0.7302 | 1.1857 | -417.3377 | -477.4783 | 0.2274 | 0.3639 |
| 0.5243 | 0.1527 | 1400 | 0.6105 | -1.3917 | -3.5270 | 0.7313 | 2.1353 | -439.7127 | -490.3575 | 0.3525 | 0.5136 |
| 0.6483 | 0.2290 | 2100 | 0.6370 | -3.1503 | -5.7506 | 0.7482 | 2.6003 | -461.9483 | -507.9432 | 0.2785 | 0.4243 |
| 0.687 | 0.3053 | 2800 | 0.5835 | -0.2196 | -2.3802 | 0.7391 | 2.1606 | -428.2447 | -478.6364 | 0.3201 | 0.4561 |
| 0.5813 | 0.3816 | 3500 | 0.5808 | -0.6116 | -3.0983 | 0.7609 | 2.4868 | -435.4256 | -482.5557 | 0.0172 | 0.2140 |
| 0.7066 | 0.4580 | 4200 | 0.5681 | -1.1058 | -3.4796 | 0.7564 | 2.3738 | -439.2385 | -487.4986 | 0.0611 | 0.2653 |
| 0.6408 | 0.5343 | 4900 | 0.5910 | -0.7319 | -3.5281 | 0.7659 | 2.7962 | -439.7232 | -483.7594 | -0.0603 | 0.1582 |
| 0.4565 | 0.6106 | 5600 | 0.5367 | -1.0688 | -3.9321 | 0.7867 | 2.8633 | -443.7639 | -487.1283 | -0.1924 | 0.0583 |
| 0.5482 | 0.6869 | 6300 | 0.5267 | -1.4234 | -4.2466 | 0.7888 | 2.8232 | -446.9083 | -490.6742 | -0.4528 | -0.2006 |
| 0.5196 | 0.7633 | 7000 | 0.5322 | -2.2017 | -5.1279 | 0.7888 | 2.9261 | -455.7211 | -498.4576 | -0.6046 | -0.3654 |
| 0.4858 | 0.8396 | 7700 | 0.5116 | -2.0986 | -5.0640 | 0.7938 | 2.9653 | -455.0820 | -497.4264 | -0.5200 | -0.2768 |
| 0.4581 | 0.9159 | 8400 | 0.5051 | -1.6669 | -4.5613 | 0.7913 | 2.8944 | -450.0557 | -493.1090 | -0.5097 | -0.2589 |
| 0.3934 | 0.9923 | 9100 | 0.5037 | -1.5976 | -4.4612 | 0.7913 | 2.8637 | -449.0548 | -492.4157 | -0.4987 | -0.2456 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.45.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.20.0 |