---
base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: adl-hw3-finetune-gemma-2-chinese-kyara-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. -->

# adl-hw3-finetune-gemma-2-chinese-kyara-2

This model is a fine-tuned version of [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9932

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3974        | 0.1778 | 25   | 2.1847          |
| 2.1716        | 0.3556 | 50   | 2.0972          |
| 2.1123        | 0.5333 | 75   | 2.0470          |
| 2.0123        | 0.7111 | 100  | 2.0131          |
| 1.9901        | 0.8889 | 125  | 1.9926          |
| 1.9153        | 1.0667 | 150  | 1.9910          |
| 1.7569        | 1.2444 | 175  | 1.9843          |
| 1.7971        | 1.4222 | 200  | 1.9748          |
| 1.8106        | 1.6    | 225  | 1.9597          |
| 1.7733        | 1.7778 | 250  | 1.9526          |
| 1.7275        | 1.9556 | 275  | 1.9500          |
| 1.6153        | 2.1333 | 300  | 1.9988          |
| 1.5536        | 2.3111 | 325  | 1.9955          |
| 1.5153        | 2.4889 | 350  | 1.9992          |
| 1.5445        | 2.6667 | 375  | 1.9893          |
| 1.544         | 2.8444 | 400  | 1.9932          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.2