---
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_2
  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. -->

# tinyllama-1.1b-dpo-pku-saferlhf_2

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: 0.4486
- Rewards/chosen: -0.1778
- Rewards/rejected: -1.2187
- Rewards/accuracies: 0.8000
- Rewards/margins: 1.0409
- Logps/rejected: -217.7180
- Logps/chosen: -234.9111
- Logits/rejected: -2.4987
- Logits/chosen: -2.6097

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6075        | 0.0960 | 200  | 0.6052          | 0.4208         | 0.1906           | 0.7170             | 0.2302          | -203.6246      | -228.9246    | -2.5653         | -2.6887       |
| 0.5198        | 0.1920 | 400  | 0.5145          | 0.3083         | -0.2832          | 0.7850             | 0.5915          | -208.3632      | -230.0500    | -2.5310         | -2.6479       |
| 0.4703        | 0.2880 | 600  | 0.4838          | 0.0019         | -0.7989          | 0.7940             | 0.8008          | -213.5201      | -233.1144    | -2.5215         | -2.6339       |
| 0.5223        | 0.3840 | 800  | 0.4631          | 0.1561         | -0.7414          | 0.7880             | 0.8975          | -212.9448      | -231.5717    | -2.4968         | -2.6118       |
| 0.4335        | 0.4800 | 1000 | 0.4555          | -0.1607        | -1.1551          | 0.7950             | 0.9944          | -217.0816      | -234.7399    | -2.4976         | -2.6097       |
| 0.5214        | 0.5760 | 1200 | 0.4511          | -0.1319        | -1.1471          | 0.7990             | 1.0152          | -217.0018      | -234.4519    | -2.5001         | -2.6120       |
| 0.4784        | 0.6719 | 1400 | 0.4486          | -0.1778        | -1.2187          | 0.8000             | 1.0409          | -217.7180      | -234.9111    | -2.4987         | -2.6097       |
| 0.4223        | 0.7679 | 1600 | 0.4487          | -0.1274        | -1.1676          | 0.7990             | 1.0402          | -217.2067      | -234.4066    | -2.4987         | -2.6100       |
| 0.5114        | 0.8639 | 1800 | 0.4483          | -0.1119        | -1.1535          | 0.7990             | 1.0416          | -217.0661      | -234.2521    | -2.4988         | -2.6100       |
| 0.4763        | 0.9599 | 2000 | 0.4485          | -0.1144        | -1.1552          | 0.7950             | 1.0409          | -217.0830      | -234.2766    | -2.4989         | -2.6102       |


### Framework versions

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