---
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
library_name: transformers
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: tinyllama-1.1b-dpo-pku-saferlhf
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tinyllama-1.1b-dpo-pku-saferlhf

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6742
- Rewards/chosen: 0.0508
- Rewards/rejected: 0.0098
- Rewards/accuracies: 0.6750
- Rewards/margins: 0.0410
- Logps/rejected: -205.4332
- Logps/chosen: -232.6254
- Logits/rejected: -2.5959
- Logits/chosen: -2.7163

## 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-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6899        | 0.0960 | 200  | 0.6898          | 0.0058         | -0.0017          | 0.5680             | 0.0074          | -205.5475      | -233.0753    | -2.5954         | -2.7156       |
| 0.6868        | 0.1920 | 400  | 0.6851          | 0.0253         | 0.0080           | 0.6300             | 0.0174          | -205.4510      | -232.8795    | -2.5955         | -2.7157       |
| 0.6741        | 0.2880 | 600  | 0.6806          | 0.0368         | 0.0096           | 0.6410             | 0.0272          | -205.4345      | -232.7647    | -2.5956         | -2.7159       |
| 0.6767        | 0.3840 | 800  | 0.6753          | 0.0499         | 0.0115           | 0.6670             | 0.0384          | -205.4159      | -232.6337    | -2.5954         | -2.7158       |
| 0.676         | 0.4800 | 1000 | 0.6766          | 0.0494         | 0.0133           | 0.6570             | 0.0361          | -205.3982      | -232.6393    | -2.5960         | -2.7163       |
| 0.6774        | 0.5760 | 1200 | 0.6742          | 0.0508         | 0.0098           | 0.6750             | 0.0410          | -205.4332      | -232.6254    | -2.5959         | -2.7163       |
| 0.6746        | 0.6719 | 1400 | 0.6737          | 0.0529         | 0.0107           | 0.6550             | 0.0422          | -205.4236      | -232.6038    | -2.5958         | -2.7162       |
| 0.6678        | 0.7679 | 1600 | 0.6743          | 0.0513         | 0.0104           | 0.6630             | 0.0409          | -205.4272      | -232.6203    | -2.5960         | -2.7164       |
| 0.6833        | 0.8639 | 1800 | 0.6739          | 0.0528         | 0.0108           | 0.6620             | 0.0420          | -205.4227      | -232.6052    | -2.5959         | -2.7163       |
| 0.6743        | 0.9599 | 2000 | 0.6741          | 0.0530         | 0.0115           | 0.6450             | 0.0415          | -205.4160      | -232.6033    | -2.5958         | -2.7163       |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.10.0+cu130
- Datasets 2.21.0
- Tokenizers 0.19.1